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This vignette describes the analysis of 26 trials comparing 17
treatments in 4 classes for the prevention of stroke in patients with
atrial fibrillation (Cooper et al. 2009). The data are
available in this package as atrial_fibrillation
:
head(atrial_fibrillation)
#> studyc studyn trtc trtn trt_class r n E stroke
#> 1 ACTIVE-W 1 Standard adjusted dose anti-coagulant 3 Anti-coagulant 65 3371 4200 0.15
#> 2 ACTIVE-W 1 Low dose aspirin + copidogrel 16 Anti-platelet 106 3335 4180 0.15
#> 3 AFASAK 1 2 Placebo/Standard care 1 Control 19 336 398 0.06
#> 4 AFASAK 1 2 Standard adjusted dose anti-coagulant 3 Anti-coagulant 9 335 413 0.06
#> 5 AFASAK 1 2 Low dose aspirin 5 Anti-platelet 16 336 409 0.06
#> 6 AFASAK 2 3 Standard adjusted dose anti-coagulant 3 Anti-coagulant 11 170 355 0.10
#> year followup
#> 1 2006 1.3
#> 2 2006 1.3
#> 3 1989 1.2
#> 4 1989 1.2
#> 5 1989 1.2
#> 6 1998 2.2
Cooper et al. (2009) used this data to demonstrate meta-regression models, which we recreate here.
Whilst we have data on the patient-years at risk in each study
(E
), we ignore this here to follow the analysis of Cooper et al. (2009), instead analysing the number of
patients with stroke (r
) out of the total (n
)
in each arm. We use the function set_agd_arm()
to set up
the network, making sure to specify the treatment classes
trt_class
. We remove the WASPO study from the network as
both arms had zero events, and this study therefore contributes no
information.
af_net <- set_agd_arm(atrial_fibrillation[atrial_fibrillation$studyc != "WASPO", ],
study = studyc,
trt = trtc,
r = r,
n = n,
trt_class = trt_class)
af_net
#> A network with 25 AgD studies (arm-based).
#>
#> ------------------------------------------------------- AgD studies (arm-based) ----
#> Study Treatment arms
#> ACTIVE-W 2: Standard adjusted dose anti-coagulant | Low dose aspirin + copidogrel
#> AFASAK 1 3: Standard adjusted dose anti-coagulant | Low dose aspirin | Placebo/Standard care
#> AFASAK 2 4: Standard adjusted dose anti-coagulant | Fixed dose warfarin | Fixed dose warf...
#> BAATAF 2: Low adjusted dose anti-coagulant | Placebo/Standard care
#> BAFTA 2: Standard adjusted dose anti-coagulant | Low dose aspirin
#> CAFA 2: Standard adjusted dose anti-coagulant | Placebo/Standard care
#> Chinese ATAFS 2: Standard adjusted dose anti-coagulant | Low dose aspirin
#> EAFT 3: Standard adjusted dose anti-coagulant | Medium dose aspirin | Placebo/Standar...
#> ESPS 2 4: Dipyridamole | Low dose aspirin | Low dose aspirin + dipyridamole | Placebo/S...
#> JAST 2: Low dose aspirin | Placebo/Standard care
#> ... plus 15 more studies
#>
#> Outcome type: count
#> ------------------------------------------------------------------------------------
#> Total number of treatments: 17, in 4 classes
#> Total number of studies: 25
#> Reference treatment is: Standard adjusted dose anti-coagulant
#> Network is connected
(A better analysis, accounting for differences in the patient-years
at risk between studies, can be performed by specifying a rate outcome
with r
and E
in set_agd_arm()
above. The following code remains identical.)
Plot the network with the plot()
method:
We fit two (random effects) models:
We fit a random effects model using the nma()
function
with trt_effects = "random"
. We use \(\mathrm{N}(0, 100^2)\) prior distributions
for the treatment effects \(d_k\) and
study-specific intercepts \(\mu_j\),
and a \(\textrm{half-N}(5^2)\) prior
for the heterogeneity standard deviation \(\tau\). We can examine the range of
parameter values implied by these prior distributions with the
summary()
method:
summary(normal(scale = 100))
#> A Normal prior distribution: location = 0, scale = 100.
#> 50% of the prior density lies between -67.45 and 67.45.
#> 95% of the prior density lies between -196 and 196.
summary(half_normal(scale = 5))
#> A half-Normal prior distribution: location = 0, scale = 5.
#> 50% of the prior density lies between 0 and 3.37.
#> 95% of the prior density lies between 0 and 9.8.
Fitting the model with the nma()
function. We increase
the target acceptance rate adapt_delta = 0.99
to minimise
divergent transition warnings.
af_fit_1 <- nma(af_net,
trt_effects = "random",
prior_intercept = normal(scale = 100),
prior_trt = normal(scale = 100),
prior_het = half_normal(scale = 5),
adapt_delta = 0.99)
#> Note: Setting "Standard adjusted dose anti-coagulant" as the network reference treatment.
Basic parameter summaries are given by the print()
method:
af_fit_1
#> A random effects NMA with a binomial likelihood (logit link).
#> Inference for Stan model: binomial_1par.
#> 4 chains, each with iter=2000; warmup=1000; thin=1;
#> post-warmup draws per chain=1000, total post-warmup draws=4000.
#>
#> mean se_mean sd 2.5% 25% 50%
#> d[Acenocoumarol] -0.76 0.02 0.81 -2.39 -1.29 -0.74
#> d[Alternate day aspirin] -1.01 0.03 1.41 -4.35 -1.79 -0.82
#> d[Dipyridamole] 0.58 0.01 0.44 -0.34 0.31 0.59
#> d[Fixed dose warfarin] 0.92 0.01 0.41 0.13 0.65 0.92
#> d[Fixed dose warfarin + low dose aspirin] 0.47 0.01 0.45 -0.43 0.19 0.47
#> d[Fixed dose warfarin + medium dose aspirin] 0.88 0.01 0.32 0.23 0.67 0.89
#> d[High dose aspirin] 0.51 0.01 0.76 -1.00 0.00 0.52
#> d[Indobufen] 0.24 0.01 0.45 -0.63 -0.05 0.23
#> d[Low adjusted dose anti-coagulant] -0.30 0.01 0.39 -1.08 -0.54 -0.29
#> d[Low dose aspirin] 0.61 0.00 0.22 0.18 0.47 0.61
#> d[Low dose aspirin + copidogrel] 0.53 0.01 0.34 -0.16 0.33 0.52
#> d[Low dose aspirin + dipyridamole] 0.26 0.01 0.47 -0.69 -0.05 0.27
#> d[Medium dose aspirin] 0.39 0.00 0.19 -0.01 0.26 0.39
#> d[Placebo/Standard care] 0.75 0.00 0.20 0.35 0.62 0.75
#> d[Triflusal] 0.65 0.01 0.61 -0.53 0.24 0.64
#> d[Ximelagatran] -0.08 0.00 0.26 -0.59 -0.25 -0.08
#> lp__ -4771.78 0.22 7.23 -4786.34 -4776.57 -4771.42
#> tau 0.28 0.00 0.13 0.04 0.19 0.27
#> 75% 97.5% n_eff Rhat
#> d[Acenocoumarol] -0.22 0.82 2900 1
#> d[Alternate day aspirin] -0.05 1.24 2678 1
#> d[Dipyridamole] 0.86 1.43 2560 1
#> d[Fixed dose warfarin] 1.19 1.71 3542 1
#> d[Fixed dose warfarin + low dose aspirin] 0.75 1.39 2829 1
#> d[Fixed dose warfarin + medium dose aspirin] 1.11 1.51 3536 1
#> d[High dose aspirin] 1.03 1.95 3910 1
#> d[Indobufen] 0.52 1.17 4033 1
#> d[Low adjusted dose anti-coagulant] -0.04 0.45 2708 1
#> d[Low dose aspirin] 0.75 1.04 2107 1
#> d[Low dose aspirin + copidogrel] 0.73 1.22 3841 1
#> d[Low dose aspirin + dipyridamole] 0.58 1.17 2802 1
#> d[Medium dose aspirin] 0.52 0.75 2616 1
#> d[Placebo/Standard care] 0.88 1.14 1791 1
#> d[Triflusal] 1.04 1.88 2806 1
#> d[Ximelagatran] 0.08 0.44 3357 1
#> lp__ -4766.76 -4758.66 1066 1
#> tau 0.36 0.56 706 1
#>
#> Samples were drawn using NUTS(diag_e) at Mon Apr 29 16:41:42 2024.
#> For each parameter, n_eff is a crude measure of effective sample size,
#> and Rhat is the potential scale reduction factor on split chains (at
#> convergence, Rhat=1).
By default, summaries of the study-specific intercepts \(\mu_j\) and study-specific relative effects
\(\delta_{jk}\) are hidden, but could
be examined by changing the pars
argument:
The prior and posterior distributions can be compared visually using
the plot_prior_posterior()
function:
We can compute relative effects against placebo/standard care with
the relative_effects()
function with the
trt_ref
argument:
(af_1_releff <- relative_effects(af_fit_1, trt_ref = "Placebo/Standard care"))
#> mean sd 2.5% 25% 50% 75% 97.5% Bulk_ESS
#> d[Standard adjusted dose anti-coagulant] -0.75 0.20 -1.14 -0.88 -0.75 -0.62 -0.35 1791
#> d[Acenocoumarol] -1.51 0.84 -3.18 -2.05 -1.49 -0.96 0.13 2918
#> d[Alternate day aspirin] -1.77 1.41 -5.05 -2.53 -1.59 -0.79 0.49 4105
#> d[Dipyridamole] -0.17 0.41 -1.01 -0.44 -0.16 0.09 0.65 4101
#> d[Fixed dose warfarin] 0.17 0.44 -0.70 -0.14 0.17 0.47 1.03 3239
#> d[Fixed dose warfarin + low dose aspirin] -0.29 0.40 -1.09 -0.54 -0.28 -0.04 0.52 4167
#> d[Fixed dose warfarin + medium dose aspirin] 0.13 0.37 -0.60 -0.10 0.13 0.38 0.86 3015
#> d[High dose aspirin] -0.24 0.74 -1.68 -0.75 -0.23 0.26 1.19 4529
#> d[Indobufen] -0.51 0.49 -1.47 -0.83 -0.52 -0.19 0.47 3619
#> d[Low adjusted dose anti-coagulant] -1.05 0.36 -1.79 -1.29 -1.04 -0.81 -0.36 4891
#> d[Low dose aspirin] -0.14 0.21 -0.57 -0.28 -0.14 0.00 0.26 4541
#> d[Low dose aspirin + copidogrel] -0.22 0.40 -1.01 -0.47 -0.23 0.02 0.61 2721
#> d[Low dose aspirin + dipyridamole] -0.49 0.45 -1.39 -0.78 -0.49 -0.20 0.39 3818
#> d[Medium dose aspirin] -0.37 0.22 -0.82 -0.50 -0.37 -0.22 0.07 2829
#> d[Triflusal] -0.11 0.64 -1.32 -0.53 -0.12 0.31 1.18 2685
#> d[Ximelagatran] -0.84 0.33 -1.46 -1.05 -0.83 -0.63 -0.19 2698
#> Tail_ESS Rhat
#> d[Standard adjusted dose anti-coagulant] 2278 1
#> d[Acenocoumarol] 2711 1
#> d[Alternate day aspirin] 1890 1
#> d[Dipyridamole] 2886 1
#> d[Fixed dose warfarin] 3080 1
#> d[Fixed dose warfarin + low dose aspirin] 2465 1
#> d[Fixed dose warfarin + medium dose aspirin] 2459 1
#> d[High dose aspirin] 3158 1
#> d[Indobufen] 2939 1
#> d[Low adjusted dose anti-coagulant] 2928 1
#> d[Low dose aspirin] 3196 1
#> d[Low dose aspirin + copidogrel] 2372 1
#> d[Low dose aspirin + dipyridamole] 3128 1
#> d[Medium dose aspirin] 2923 1
#> d[Triflusal] 2520 1
#> d[Ximelagatran] 2424 1
These estimates can easily be plotted with the plot()
method:
We can also produce treatment rankings, rank probabilities, and cumulative rank probabilities.
(af_1_ranks <- posterior_ranks(af_fit_1))
#> mean sd 2.5% 25% 50% 75% 97.5% Bulk_ESS Tail_ESS
#> rank[Standard adjusted dose anti-coagulant] 5.31 1.45 3 4 5 6 8 2267 2568
#> rank[Acenocoumarol] 3.10 3.18 1 1 2 3 14 3671 2987
#> rank[Alternate day aspirin] 3.78 4.33 1 1 2 5 16 4753 3899
#> rank[Dipyridamole] 11.20 3.78 3 9 11 14 17 3341 NA
#> rank[Fixed dose warfarin] 14.05 3.04 7 12 15 16 17 3396 NA
#> rank[Fixed dose warfarin + low dose aspirin] 10.03 3.87 3 7 10 13 17 3527 2645
#> rank[Fixed dose warfarin + medium dose aspirin] 14.06 2.71 7 13 15 16 17 2899 NA
#> rank[High dose aspirin] 10.32 5.30 1 6 11 16 17 4209 NA
#> rank[Indobufen] 8.03 3.98 2 5 8 11 16 3806 3015
#> rank[Low adjusted dose anti-coagulant] 3.76 2.24 1 2 3 5 10 3360 2970
#> rank[Low dose aspirin] 11.70 2.28 7 10 12 13 16 3424 3471
#> rank[Low dose aspirin + copidogrel] 10.70 3.42 4 8 11 13 17 2919 2896
#> rank[Low dose aspirin + dipyridamole] 8.12 3.90 2 5 8 11 16 3476 3203
#> rank[Medium dose aspirin] 9.14 2.17 5 8 9 11 14 3517 3320
#> rank[Placebo/Standard care] 13.40 1.82 10 12 14 15 17 3577 3434
#> rank[Triflusal] 11.44 4.55 3 8 12 16 17 2593 NA
#> rank[Ximelagatran] 4.86 2.26 2 3 4 6 10 2944 2300
#> Rhat
#> rank[Standard adjusted dose anti-coagulant] 1
#> rank[Acenocoumarol] 1
#> rank[Alternate day aspirin] 1
#> rank[Dipyridamole] 1
#> rank[Fixed dose warfarin] 1
#> rank[Fixed dose warfarin + low dose aspirin] 1
#> rank[Fixed dose warfarin + medium dose aspirin] 1
#> rank[High dose aspirin] 1
#> rank[Indobufen] 1
#> rank[Low adjusted dose anti-coagulant] 1
#> rank[Low dose aspirin] 1
#> rank[Low dose aspirin + copidogrel] 1
#> rank[Low dose aspirin + dipyridamole] 1
#> rank[Medium dose aspirin] 1
#> rank[Placebo/Standard care] 1
#> rank[Triflusal] 1
#> rank[Ximelagatran] 1
plot(af_1_ranks)
(af_1_rankprobs <- posterior_rank_probs(af_fit_1))
#> p_rank[1] p_rank[2] p_rank[3] p_rank[4] p_rank[5]
#> d[Standard adjusted dose anti-coagulant] 0.00 0.02 0.07 0.21 0.28
#> d[Acenocoumarol] 0.37 0.29 0.10 0.06 0.04
#> d[Alternate day aspirin] 0.46 0.17 0.07 0.04 0.03
#> d[Dipyridamole] 0.00 0.01 0.02 0.02 0.03
#> d[Fixed dose warfarin] 0.00 0.00 0.00 0.00 0.01
#> d[Fixed dose warfarin + low dose aspirin] 0.00 0.01 0.03 0.04 0.05
#> d[Fixed dose warfarin + medium dose aspirin] 0.00 0.00 0.00 0.00 0.00
#> d[High dose aspirin] 0.03 0.05 0.07 0.05 0.04
#> d[Indobufen] 0.01 0.05 0.07 0.08 0.09
#> d[Low adjusted dose anti-coagulant] 0.09 0.24 0.26 0.15 0.10
#> d[Low dose aspirin] 0.00 0.00 0.00 0.00 0.00
#> d[Low dose aspirin + copidogrel] 0.00 0.01 0.01 0.02 0.03
#> d[Low dose aspirin + dipyridamole] 0.01 0.04 0.07 0.07 0.09
#> d[Medium dose aspirin] 0.00 0.00 0.00 0.01 0.02
#> d[Placebo/Standard care] 0.00 0.00 0.00 0.00 0.00
#> d[Triflusal] 0.00 0.02 0.04 0.04 0.04
#> d[Ximelagatran] 0.02 0.09 0.18 0.21 0.17
#> p_rank[6] p_rank[7] p_rank[8] p_rank[9] p_rank[10]
#> d[Standard adjusted dose anti-coagulant] 0.23 0.12 0.05 0.01 0.00
#> d[Acenocoumarol] 0.03 0.02 0.02 0.01 0.01
#> d[Alternate day aspirin] 0.03 0.03 0.03 0.02 0.02
#> d[Dipyridamole] 0.04 0.06 0.07 0.08 0.08
#> d[Fixed dose warfarin] 0.01 0.02 0.02 0.03 0.05
#> d[Fixed dose warfarin + low dose aspirin] 0.07 0.08 0.09 0.10 0.09
#> d[Fixed dose warfarin + medium dose aspirin] 0.01 0.01 0.02 0.03 0.04
#> d[High dose aspirin] 0.05 0.05 0.05 0.04 0.05
#> d[Indobufen] 0.09 0.10 0.10 0.07 0.07
#> d[Low adjusted dose anti-coagulant] 0.06 0.05 0.03 0.02 0.01
#> d[Low dose aspirin] 0.01 0.02 0.05 0.09 0.12
#> d[Low dose aspirin + copidogrel] 0.05 0.08 0.09 0.10 0.10
#> d[Low dose aspirin + dipyridamole] 0.09 0.10 0.09 0.09 0.07
#> d[Medium dose aspirin] 0.07 0.12 0.17 0.19 0.17
#> d[Placebo/Standard care] 0.00 0.00 0.00 0.02 0.04
#> d[Triflusal] 0.05 0.06 0.06 0.06 0.06
#> d[Ximelagatran] 0.11 0.08 0.05 0.03 0.02
#> p_rank[11] p_rank[12] p_rank[13] p_rank[14] p_rank[15]
#> d[Standard adjusted dose anti-coagulant] 0.00 0.00 0.00 0.00 0.00
#> d[Acenocoumarol] 0.01 0.01 0.01 0.01 0.01
#> d[Alternate day aspirin] 0.01 0.01 0.01 0.01 0.01
#> d[Dipyridamole] 0.09 0.09 0.08 0.09 0.09
#> d[Fixed dose warfarin] 0.05 0.06 0.07 0.09 0.14
#> d[Fixed dose warfarin + low dose aspirin] 0.09 0.07 0.08 0.06 0.06
#> d[Fixed dose warfarin + medium dose aspirin] 0.05 0.07 0.08 0.12 0.17
#> d[High dose aspirin] 0.04 0.04 0.04 0.06 0.07
#> d[Indobufen] 0.05 0.05 0.05 0.04 0.03
#> d[Low adjusted dose anti-coagulant] 0.01 0.00 0.00 0.00 0.00
#> d[Low dose aspirin] 0.16 0.17 0.16 0.10 0.07
#> d[Low dose aspirin + copidogrel] 0.11 0.09 0.08 0.08 0.07
#> d[Low dose aspirin + dipyridamole] 0.06 0.06 0.05 0.03 0.03
#> d[Medium dose aspirin] 0.11 0.08 0.04 0.02 0.01
#> d[Placebo/Standard care] 0.08 0.14 0.20 0.22 0.17
#> d[Triflusal] 0.06 0.06 0.06 0.06 0.08
#> d[Ximelagatran] 0.01 0.00 0.00 0.00 0.00
#> p_rank[16] p_rank[17]
#> d[Standard adjusted dose anti-coagulant] 0.00 0.00
#> d[Acenocoumarol] 0.01 0.00
#> d[Alternate day aspirin] 0.02 0.02
#> d[Dipyridamole] 0.08 0.06
#> d[Fixed dose warfarin] 0.21 0.24
#> d[Fixed dose warfarin + low dose aspirin] 0.05 0.04
#> d[Fixed dose warfarin + medium dose aspirin] 0.22 0.17
#> d[High dose aspirin] 0.08 0.17
#> d[Indobufen] 0.03 0.02
#> d[Low adjusted dose anti-coagulant] 0.00 0.00
#> d[Low dose aspirin] 0.04 0.01
#> d[Low dose aspirin + copidogrel] 0.06 0.04
#> d[Low dose aspirin + dipyridamole] 0.03 0.02
#> d[Medium dose aspirin] 0.00 0.00
#> d[Placebo/Standard care] 0.09 0.03
#> d[Triflusal] 0.10 0.18
#> d[Ximelagatran] 0.00 0.00
plot(af_1_rankprobs)
(af_1_cumrankprobs <- posterior_rank_probs(af_fit_1, cumulative = TRUE))
#> p_rank[1] p_rank[2] p_rank[3] p_rank[4] p_rank[5]
#> d[Standard adjusted dose anti-coagulant] 0.00 0.02 0.09 0.30 0.58
#> d[Acenocoumarol] 0.37 0.66 0.76 0.81 0.85
#> d[Alternate day aspirin] 0.46 0.63 0.71 0.75 0.77
#> d[Dipyridamole] 0.00 0.01 0.03 0.05 0.08
#> d[Fixed dose warfarin] 0.00 0.00 0.00 0.01 0.01
#> d[Fixed dose warfarin + low dose aspirin] 0.00 0.02 0.05 0.09 0.13
#> d[Fixed dose warfarin + medium dose aspirin] 0.00 0.00 0.00 0.00 0.01
#> d[High dose aspirin] 0.03 0.08 0.15 0.21 0.25
#> d[Indobufen] 0.01 0.06 0.14 0.22 0.30
#> d[Low adjusted dose anti-coagulant] 0.09 0.32 0.58 0.73 0.82
#> d[Low dose aspirin] 0.00 0.00 0.00 0.00 0.00
#> d[Low dose aspirin + copidogrel] 0.00 0.01 0.02 0.03 0.06
#> d[Low dose aspirin + dipyridamole] 0.01 0.05 0.13 0.20 0.29
#> d[Medium dose aspirin] 0.00 0.00 0.00 0.01 0.04
#> d[Placebo/Standard care] 0.00 0.00 0.00 0.00 0.00
#> d[Triflusal] 0.00 0.02 0.05 0.09 0.13
#> d[Ximelagatran] 0.02 0.12 0.30 0.51 0.68
#> p_rank[6] p_rank[7] p_rank[8] p_rank[9] p_rank[10]
#> d[Standard adjusted dose anti-coagulant] 0.81 0.93 0.98 0.99 1.00
#> d[Acenocoumarol] 0.88 0.91 0.93 0.94 0.95
#> d[Alternate day aspirin] 0.80 0.83 0.86 0.88 0.90
#> d[Dipyridamole] 0.13 0.18 0.25 0.33 0.41
#> d[Fixed dose warfarin] 0.02 0.04 0.07 0.10 0.15
#> d[Fixed dose warfarin + low dose aspirin] 0.20 0.27 0.36 0.46 0.55
#> d[Fixed dose warfarin + medium dose aspirin] 0.01 0.03 0.05 0.08 0.12
#> d[High dose aspirin] 0.30 0.35 0.40 0.44 0.49
#> d[Indobufen] 0.39 0.50 0.59 0.67 0.73
#> d[Low adjusted dose anti-coagulant] 0.88 0.92 0.96 0.97 0.98
#> d[Low dose aspirin] 0.01 0.04 0.08 0.17 0.29
#> d[Low dose aspirin + copidogrel] 0.11 0.19 0.28 0.38 0.48
#> d[Low dose aspirin + dipyridamole] 0.38 0.48 0.57 0.66 0.72
#> d[Medium dose aspirin] 0.10 0.22 0.39 0.58 0.75
#> d[Placebo/Standard care] 0.00 0.00 0.01 0.02 0.07
#> d[Triflusal] 0.18 0.24 0.30 0.36 0.41
#> d[Ximelagatran] 0.79 0.88 0.93 0.96 0.98
#> p_rank[11] p_rank[12] p_rank[13] p_rank[14] p_rank[15]
#> d[Standard adjusted dose anti-coagulant] 1.00 1.00 1.00 1.00 1.00
#> d[Acenocoumarol] 0.96 0.96 0.97 0.98 0.99
#> d[Alternate day aspirin] 0.91 0.92 0.93 0.94 0.96
#> d[Dipyridamole] 0.50 0.59 0.67 0.77 0.85
#> d[Fixed dose warfarin] 0.20 0.26 0.33 0.42 0.56
#> d[Fixed dose warfarin + low dose aspirin] 0.64 0.71 0.78 0.84 0.90
#> d[Fixed dose warfarin + medium dose aspirin] 0.17 0.25 0.32 0.45 0.61
#> d[High dose aspirin] 0.54 0.58 0.62 0.68 0.75
#> d[Indobufen] 0.79 0.83 0.88 0.92 0.95
#> d[Low adjusted dose anti-coagulant] 0.99 0.99 1.00 1.00 1.00
#> d[Low dose aspirin] 0.46 0.63 0.78 0.88 0.96
#> d[Low dose aspirin + copidogrel] 0.59 0.68 0.76 0.84 0.91
#> d[Low dose aspirin + dipyridamole] 0.79 0.84 0.89 0.93 0.96
#> d[Medium dose aspirin] 0.86 0.94 0.97 0.99 1.00
#> d[Placebo/Standard care] 0.15 0.29 0.49 0.71 0.88
#> d[Triflusal] 0.47 0.53 0.59 0.64 0.73
#> d[Ximelagatran] 0.99 0.99 1.00 1.00 1.00
#> p_rank[16] p_rank[17]
#> d[Standard adjusted dose anti-coagulant] 1.00 1
#> d[Acenocoumarol] 1.00 1
#> d[Alternate day aspirin] 0.98 1
#> d[Dipyridamole] 0.94 1
#> d[Fixed dose warfarin] 0.76 1
#> d[Fixed dose warfarin + low dose aspirin] 0.96 1
#> d[Fixed dose warfarin + medium dose aspirin] 0.83 1
#> d[High dose aspirin] 0.83 1
#> d[Indobufen] 0.98 1
#> d[Low adjusted dose anti-coagulant] 1.00 1
#> d[Low dose aspirin] 0.99 1
#> d[Low dose aspirin + copidogrel] 0.96 1
#> d[Low dose aspirin + dipyridamole] 0.98 1
#> d[Medium dose aspirin] 1.00 1
#> d[Placebo/Standard care] 0.97 1
#> d[Triflusal] 0.82 1
#> d[Ximelagatran] 1.00 1
plot(af_1_cumrankprobs)
We now consider a meta-regression model adjusting for the proportion
of individuals in each study with prior stroke, with shared interaction
coefficients by treatment class. The regression model is specified in
the nma()
function using a formula in the
regression
argument. The formula ~ .trt:stroke
means that interactions of prior stroke with treatment will be included;
the .trt
special variable indicates treatment, and
stroke
is in the original data set. We specify
class_interactions = "common"
to denote that the
interaction parameters are to be common (i.e. shared) between treatments
within each class. (Setting
class_interactions = "independent"
would fit model 2 of
Cooper et al. (2009) with separate interactions for
each treatment, data permitting.) We use the same prior distributions as
above, but additionally require a prior distribution for the regression
coefficients prior_reg
; we use a \(\mathrm{N}(0, 100^2)\) prior distribution.
The QR
decomposition can greatly improve the efficiency of sampling for
regression models by decorrelating the sampling space; we specify that
this should be used with QR = TRUE
, and increase the target
acceptance rate adapt_delta = 0.99
to minimise divergent
transition warnings.
af_fit_4b <- nma(af_net,
trt_effects = "random",
regression = ~ .trt:stroke,
class_interactions = "common",
QR = TRUE,
prior_intercept = normal(scale = 100),
prior_trt = normal(scale = 100),
prior_reg = normal(scale = 100),
prior_het = half_normal(scale = 5),
adapt_delta = 0.99)
#> Note: Setting "Standard adjusted dose anti-coagulant" as the network reference treatment.
#> Warning: Bulk Effective Samples Size (ESS) is too low, indicating posterior means and medians may be unreliable.
#> Running the chains for more iterations may help. See
#> https://mc-stan.org/misc/warnings.html#bulk-ess
Basic parameter summaries are given by the print()
method:
af_fit_4b
#> A random effects NMA with a binomial likelihood (logit link).
#> Regression model: ~.trt:stroke.
#> Centred covariates at the following overall mean values:
#> stroke
#> 0.2957377
#> Inference for Stan model: binomial_1par.
#> 4 chains, each with iter=2000; warmup=1000; thin=1;
#> post-warmup draws per chain=1000, total post-warmup draws=4000.
#>
#> mean se_mean sd 2.5% 25% 50%
#> beta[.trtclassControl:stroke] 0.70 0.01 0.42 -0.09 0.42 0.70
#> beta[.trtclassAnti-platelet:stroke] 0.94 0.01 0.40 0.16 0.68 0.94
#> beta[.trtclassMixed:stroke] 3.91 0.03 2.07 -0.10 2.55 3.89
#> d[Acenocoumarol] 0.36 0.01 0.98 -1.56 -0.28 0.35
#> d[Alternate day aspirin] -0.92 0.04 1.43 -4.38 -1.64 -0.69
#> d[Dipyridamole] 0.57 0.01 0.39 -0.22 0.32 0.57
#> d[Fixed dose warfarin] 0.64 0.01 0.37 -0.09 0.38 0.64
#> d[Fixed dose warfarin + low dose aspirin] 1.47 0.01 0.72 0.08 0.98 1.46
#> d[Fixed dose warfarin + medium dose aspirin] 1.00 0.00 0.29 0.44 0.80 0.99
#> d[High dose aspirin] 0.43 0.01 0.74 -0.99 -0.07 0.43
#> d[Indobufen] -0.42 0.01 0.48 -1.40 -0.73 -0.41
#> d[Low adjusted dose anti-coagulant] -0.43 0.01 0.37 -1.16 -0.67 -0.43
#> d[Low dose aspirin] 0.72 0.00 0.19 0.35 0.60 0.72
#> d[Low dose aspirin + copidogrel] 0.65 0.00 0.26 0.13 0.49 0.65
#> d[Low dose aspirin + dipyridamole] 0.25 0.01 0.42 -0.54 -0.03 0.26
#> d[Medium dose aspirin] 0.35 0.00 0.17 0.02 0.24 0.35
#> d[Placebo/Standard care] 0.79 0.00 0.19 0.43 0.67 0.79
#> d[Triflusal] 0.93 0.01 0.57 -0.16 0.53 0.93
#> d[Ximelagatran] -0.08 0.00 0.20 -0.47 -0.21 -0.09
#> lp__ -4771.71 0.19 6.95 -4786.65 -4776.15 -4771.19
#> tau 0.16 0.01 0.12 0.01 0.07 0.15
#> 75% 97.5% n_eff Rhat
#> beta[.trtclassControl:stroke] 0.97 1.55 4684 1.00
#> beta[.trtclassAnti-platelet:stroke] 1.20 1.72 4136 1.00
#> beta[.trtclassMixed:stroke] 5.23 8.17 5132 1.00
#> d[Acenocoumarol] 1.02 2.31 4905 1.00
#> d[Alternate day aspirin] 0.04 1.24 1627 1.00
#> d[Dipyridamole] 0.83 1.34 5773 1.00
#> d[Fixed dose warfarin] 0.89 1.37 4439 1.00
#> d[Fixed dose warfarin + low dose aspirin] 1.93 2.88 4926 1.00
#> d[Fixed dose warfarin + medium dose aspirin] 1.18 1.57 4908 1.00
#> d[High dose aspirin] 0.93 1.85 5148 1.00
#> d[Indobufen] -0.10 0.52 4756 1.00
#> d[Low adjusted dose anti-coagulant] -0.18 0.28 3679 1.00
#> d[Low dose aspirin] 0.84 1.09 5448 1.00
#> d[Low dose aspirin + copidogrel] 0.80 1.18 3314 1.00
#> d[Low dose aspirin + dipyridamole] 0.53 1.07 5100 1.00
#> d[Medium dose aspirin] 0.46 0.67 5005 1.00
#> d[Placebo/Standard care] 0.92 1.16 4570 1.00
#> d[Triflusal] 1.31 2.08 5642 1.00
#> d[Ximelagatran] 0.04 0.33 3011 1.00
#> lp__ -4766.93 -4759.45 1392 1.00
#> tau 0.23 0.43 304 1.03
#>
#> Samples were drawn using NUTS(diag_e) at Mon Apr 29 16:42:05 2024.
#> For each parameter, n_eff is a crude measure of effective sample size,
#> and Rhat is the potential scale reduction factor on split chains (at
#> convergence, Rhat=1).
The estimated treatment effects d[]
shown here
correspond to relative effects at the reference level of the covariate,
here proportion of prior stroke centered at the network mean value
0.296.
By default, summaries of the study-specific intercepts \(\mu_j\) and study-specific relative effects
\(\delta_{jk}\) are hidden, but could
be examined by changing the pars
argument:
The prior and posterior distributions can be compared visually using
the plot_prior_posterior()
function:
We can compute relative effects against placebo/standard care with
the relative_effects()
function with the
trt_ref
argument, which by default produces relative
effects for the observed proportions of prior stroke in each study:
# Not run
(af_4b_releff <- relative_effects(af_fit_4b, trt_ref = "Placebo/Standard care"))
plot(af_4b_releff, ref_line = 0)
We can produce estimated treatment effects for particular covariate
values using the newdata
argument. For example, treatment
effects when no individuals or all individuals have prior stroke are
produced by
(af_4b_releff_01 <- relative_effects(af_fit_4b,
trt_ref = "Placebo/Standard care",
newdata = data.frame(stroke = c(0, 1),
label = c("stroke = 0", "stroke = 1")),
study = label))
#> ------------------------------------------------------------- Study: stroke = 0 ----
#>
#> Covariate values:
#> stroke
#> 0
#>
#> mean sd 2.5% 25% 50% 75% 97.5%
#> d[stroke = 0: Standard adjusted dose anti-coagulant] -0.59 0.23 -1.04 -0.74 -0.59 -0.42 -0.14
#> d[stroke = 0: Acenocoumarol] -1.38 0.81 -3.04 -1.90 -1.34 -0.83 0.12
#> d[stroke = 0: Alternate day aspirin] -1.79 1.42 -5.17 -2.49 -1.55 -0.83 0.35
#> d[stroke = 0: Dipyridamole] -0.29 0.43 -1.15 -0.57 -0.30 -0.01 0.54
#> d[stroke = 0: Fixed dose warfarin] 0.05 0.43 -0.77 -0.24 0.05 0.34 0.88
#> d[stroke = 0: Fixed dose warfarin + low dose aspirin] -0.28 0.32 -0.92 -0.49 -0.28 -0.07 0.38
#> d[stroke = 0: Fixed dose warfarin + medium dose aspirin] -0.74 0.64 -2.01 -1.18 -0.74 -0.31 0.50
#> d[stroke = 0: High dose aspirin] -0.44 0.78 -1.99 -0.95 -0.43 0.09 1.06
#> d[stroke = 0: Indobufen] -1.28 0.57 -2.43 -1.64 -1.28 -0.92 -0.17
#> d[stroke = 0: Low adjusted dose anti-coagulant] -1.02 0.34 -1.67 -1.23 -1.01 -0.79 -0.35
#> d[stroke = 0: Low dose aspirin] -0.14 0.21 -0.58 -0.28 -0.14 0.00 0.27
#> d[stroke = 0: Low dose aspirin + copidogrel] -0.21 0.33 -0.85 -0.43 -0.21 0.00 0.45
#> d[stroke = 0: Low dose aspirin + dipyridamole] -0.61 0.45 -1.50 -0.90 -0.62 -0.32 0.28
#> d[stroke = 0: Medium dose aspirin] -0.52 0.26 -1.03 -0.69 -0.52 -0.34 -0.01
#> d[stroke = 0: Triflusal] 0.07 0.61 -1.10 -0.34 0.06 0.46 1.32
#> d[stroke = 0: Ximelagatran] -0.67 0.31 -1.26 -0.87 -0.67 -0.47 -0.06
#> Bulk_ESS Tail_ESS Rhat
#> d[stroke = 0: Standard adjusted dose anti-coagulant] 4035 2830 1.01
#> d[stroke = 0: Acenocoumarol] 4345 2660 1.00
#> d[stroke = 0: Alternate day aspirin] 2369 1368 1.00
#> d[stroke = 0: Dipyridamole] 4888 2792 1.00
#> d[stroke = 0: Fixed dose warfarin] 4456 2930 1.00
#> d[stroke = 0: Fixed dose warfarin + low dose aspirin] 4967 2833 1.00
#> d[stroke = 0: Fixed dose warfarin + medium dose aspirin] 4568 2832 1.00
#> d[stroke = 0: High dose aspirin] 5016 3625 1.00
#> d[stroke = 0: Indobufen] 4850 2999 1.01
#> d[stroke = 0: Low adjusted dose anti-coagulant] 4401 2899 1.00
#> d[stroke = 0: Low dose aspirin] 4403 2696 1.00
#> d[stroke = 0: Low dose aspirin + copidogrel] 3369 2722 1.01
#> d[stroke = 0: Low dose aspirin + dipyridamole] 4996 2982 1.00
#> d[stroke = 0: Medium dose aspirin] 4794 2545 1.00
#> d[stroke = 0: Triflusal] 5491 2946 1.00
#> d[stroke = 0: Ximelagatran] 3410 2552 1.00
#>
#> ------------------------------------------------------------- Study: stroke = 1 ----
#>
#> Covariate values:
#> stroke
#> 1
#>
#> mean sd 2.5% 25% 50% 75% 97.5%
#> d[stroke = 1: Standard adjusted dose anti-coagulant] -1.29 0.34 -1.97 -1.50 -1.28 -1.06 -0.64
#> d[stroke = 1: Acenocoumarol] 1.83 2.22 -2.52 0.34 1.77 3.29 6.33
#> d[stroke = 1: Alternate day aspirin] -1.55 1.45 -5.09 -2.28 -1.33 -0.58 0.67
#> d[stroke = 1: Dipyridamole] -0.06 0.37 -0.80 -0.30 -0.05 0.19 0.67
#> d[stroke = 1: Fixed dose warfarin] -0.65 0.50 -1.64 -0.99 -0.65 -0.31 0.31
#> d[stroke = 1: Fixed dose warfarin + low dose aspirin] 2.93 2.12 -1.16 1.52 2.91 4.28 7.29
#> d[stroke = 1: Fixed dose warfarin + medium dose aspirin] 2.46 1.59 -0.65 1.44 2.43 3.47 5.70
#> d[stroke = 1: High dose aspirin] -0.20 0.73 -1.64 -0.68 -0.19 0.29 1.18
#> d[stroke = 1: Indobufen] -1.04 0.51 -2.05 -1.38 -1.04 -0.71 -0.05
#> d[stroke = 1: Low adjusted dose anti-coagulant] -1.72 0.52 -2.77 -2.05 -1.71 -1.37 -0.75
#> d[stroke = 1: Low dose aspirin] 0.09 0.28 -0.49 -0.08 0.10 0.28 0.63
#> d[stroke = 1: Low dose aspirin + copidogrel] 0.03 0.37 -0.72 -0.19 0.03 0.26 0.73
#> d[stroke = 1: Low dose aspirin + dipyridamole] -0.37 0.40 -1.15 -0.64 -0.37 -0.11 0.39
#> d[stroke = 1: Medium dose aspirin] -0.28 0.23 -0.77 -0.42 -0.27 -0.13 0.15
#> d[stroke = 1: Triflusal] 0.30 0.63 -0.93 -0.11 0.32 0.72 1.53
#> d[stroke = 1: Ximelagatran] -1.37 0.38 -2.15 -1.61 -1.36 -1.12 -0.63
#> Bulk_ESS Tail_ESS Rhat
#> d[stroke = 1: Standard adjusted dose anti-coagulant] 5887 2765 1.00
#> d[stroke = 1: Acenocoumarol] 5304 3046 1.00
#> d[stroke = 1: Alternate day aspirin] 2360 1425 1.00
#> d[stroke = 1: Dipyridamole] 5274 3142 1.00
#> d[stroke = 1: Fixed dose warfarin] 5021 2698 1.00
#> d[stroke = 1: Fixed dose warfarin + low dose aspirin] 5091 3129 1.00
#> d[stroke = 1: Fixed dose warfarin + medium dose aspirin] 5258 3146 1.00
#> d[stroke = 1: High dose aspirin] 5221 3275 1.00
#> d[stroke = 1: Indobufen] 5436 2960 1.00
#> d[stroke = 1: Low adjusted dose anti-coagulant] 4443 3066 1.00
#> d[stroke = 1: Low dose aspirin] 5493 2491 1.00
#> d[stroke = 1: Low dose aspirin + copidogrel] 4150 2063 1.00
#> d[stroke = 1: Low dose aspirin + dipyridamole] 5154 2867 1.00
#> d[stroke = 1: Medium dose aspirin] 5242 2404 1.01
#> d[stroke = 1: Triflusal] 5614 2948 1.00
#> d[stroke = 1: Ximelagatran] 5159 2891 1.00
plot(af_4b_releff_01, ref_line = 0)
The estimated class interactions (against the reference “Mixed” class) are very uncertain.
The interactions are more straightforward to interpret if we transform the interaction coefficients (using the consistency equations) so that they are against the control class:
af_4b_beta <- as.array(af_fit_4b, pars = "beta")
# Subtract beta[Control:stroke] from the other class interactions
af_4b_beta[ , , 2:3] <- sweep(af_4b_beta[ , , 2:3], 1:2,
af_4b_beta[ , , "beta[.trtclassControl:stroke]"], FUN = "-")
# Set beta[Anti-coagulant:stroke] = -beta[Control:stroke]
af_4b_beta[ , , "beta[.trtclassControl:stroke]"] <- -af_4b_beta[ , , "beta[.trtclassControl:stroke]"]
names(af_4b_beta)[1] <- "beta[.trtclassAnti-coagulant:stroke]"
# Summarise
summary(af_4b_beta)
#> mean sd 2.5% 25% 50% 75% 97.5% Bulk_ESS Tail_ESS
#> beta[.trtclassAnti-coagulant:stroke] -0.70 0.42 -1.55 -0.97 -0.70 -0.42 0.09 4797 2930
#> beta[.trtclassAnti-platelet:stroke] 0.24 0.33 -0.42 0.03 0.24 0.45 0.87 5037 2875
#> beta[.trtclassMixed:stroke] 3.21 2.10 -0.81 1.85 3.18 4.57 7.54 5019 3174
#> Rhat
#> beta[.trtclassAnti-coagulant:stroke] 1
#> beta[.trtclassAnti-platelet:stroke] 1
#> beta[.trtclassMixed:stroke] 1
plot(summary(af_4b_beta), stat = "halfeye", ref_line = 0)
There is some evidence that the effect of anti-coagulants increases (compared to control) with prior stroke. There is little evidence the effect of anti-platelets reduces with prior stroke, although the point estimate represents a substantial reduction in effectiveness, and the 95% Credible Interval includes values that correspond to substantial increases in treatment effect. The interaction effect of stroke on mixed treatments is very uncertain, but potentially indicates a substantial reduction in treatment effects with prior stroke.
We can also produce treatment rankings, rank probabilities, and
cumulative rank probabilities. By default (without the
newdata
argument specified), these are produced at the
value of stroke
for each study in the network in turn. To
instead produce rankings for when no individuals or all individuals have
prior stroke, we specify the newdata
argument.
(af_4b_ranks <- posterior_ranks(af_fit_4b,
newdata = data.frame(stroke = c(0, 1),
label = c("stroke = 0", "stroke = 1")),
study = label))
#> ------------------------------------------------------------- Study: stroke = 0 ----
#>
#> Covariate values:
#> stroke
#> 0
#>
#> mean sd 2.5% 25% 50% 75% 97.5%
#> rank[stroke = 0: Standard adjusted dose anti-coagulant] 7.71 1.84 4 6 8 9 11
#> rank[stroke = 0: Acenocoumarol] 3.87 3.52 1 1 3 5 14
#> rank[stroke = 0: Alternate day aspirin] 4.01 4.41 1 1 2 5 16
#> rank[stroke = 0: Dipyridamole] 11.07 3.63 4 8 11 14 17
#> rank[stroke = 0: Fixed dose warfarin] 14.15 2.88 7 13 15 16 17
#> rank[stroke = 0: Fixed dose warfarin + low dose aspirin] 11.13 3.60 4 9 11 14 17
#> rank[stroke = 0: Fixed dose warfarin + medium dose aspirin] 7.13 4.50 1 3 6 10 16
#> rank[stroke = 0: High dose aspirin] 9.63 5.33 1 5 10 15 17
#> rank[stroke = 0: Indobufen] 3.56 2.68 1 2 3 4 11
#> rank[stroke = 0: Low adjusted dose anti-coagulant] 4.49 2.38 1 3 4 5 11
#> rank[stroke = 0: Low dose aspirin] 12.94 1.87 9 12 13 14 16
#> rank[stroke = 0: Low dose aspirin + copidogrel] 12.08 2.78 6 10 12 14 17
#> rank[stroke = 0: Low dose aspirin + dipyridamole] 7.83 3.68 2 5 7 10 16
#> rank[stroke = 0: Medium dose aspirin] 8.57 2.09 5 7 9 10 13
#> rank[stroke = 0: Placebo/Standard care] 14.35 1.88 10 13 15 16 17
#> rank[stroke = 0: Triflusal] 13.56 3.90 4 11 15 17 17
#> rank[stroke = 0: Ximelagatran] 6.92 2.55 3 5 7 9 12
#> Bulk_ESS Tail_ESS Rhat
#> rank[stroke = 0: Standard adjusted dose anti-coagulant] 4083 3391 1
#> rank[stroke = 0: Acenocoumarol] 4554 3221 1
#> rank[stroke = 0: Alternate day aspirin] 4081 3172 1
#> rank[stroke = 0: Dipyridamole] 5013 NA 1
#> rank[stroke = 0: Fixed dose warfarin] 4138 NA 1
#> rank[stroke = 0: Fixed dose warfarin + low dose aspirin] 4826 2725 1
#> rank[stroke = 0: Fixed dose warfarin + medium dose aspirin] 4454 2890 1
#> rank[stroke = 0: High dose aspirin] 4785 NA 1
#> rank[stroke = 0: Indobufen] 4482 3249 1
#> rank[stroke = 0: Low adjusted dose anti-coagulant] 3581 3428 1
#> rank[stroke = 0: Low dose aspirin] 4114 3334 1
#> rank[stroke = 0: Low dose aspirin + copidogrel] 3928 2866 1
#> rank[stroke = 0: Low dose aspirin + dipyridamole] 4855 3235 1
#> rank[stroke = 0: Medium dose aspirin] 4216 3383 1
#> rank[stroke = 0: Placebo/Standard care] 3511 NA 1
#> rank[stroke = 0: Triflusal] 5526 NA 1
#> rank[stroke = 0: Ximelagatran] 3542 3367 1
#>
#> ------------------------------------------------------------- Study: stroke = 1 ----
#>
#> Covariate values:
#> stroke
#> 1
#>
#> mean sd 2.5% 25% 50% 75% 97.5%
#> rank[stroke = 1: Standard adjusted dose anti-coagulant] 3.61 1.09 2.00 3 4 4 6
#> rank[stroke = 1: Acenocoumarol] 13.25 4.33 1.00 14 15 16 17
#> rank[stroke = 1: Alternate day aspirin] 4.51 3.98 1.00 1 3 7 14
#> rank[stroke = 1: Dipyridamole] 10.53 2.63 6.00 9 11 13 15
#> rank[stroke = 1: Fixed dose warfarin] 7.06 2.69 3.00 5 6 8 14
#> rank[stroke = 1: Fixed dose warfarin + low dose aspirin] 15.84 2.83 6.00 16 17 17 17
#> rank[stroke = 1: Fixed dose warfarin + medium dose aspirin] 15.43 1.88 8.98 15 16 16 17
#> rank[stroke = 1: High dose aspirin] 9.46 3.96 2.00 6 9 13 16
#> rank[stroke = 1: Indobufen] 4.93 2.13 1.00 4 5 6 10
#> rank[stroke = 1: Low adjusted dose anti-coagulant] 1.98 1.27 1.00 1 2 2 5
#> rank[stroke = 1: Low dose aspirin] 11.91 1.81 8.00 11 12 13 15
#> rank[stroke = 1: Low dose aspirin + copidogrel] 11.18 2.38 6.00 10 11 13 15
#> rank[stroke = 1: Low dose aspirin + dipyridamole] 8.19 2.59 4.00 6 8 10 14
#> rank[stroke = 1: Medium dose aspirin] 8.58 1.67 6.00 7 8 10 12
#> rank[stroke = 1: Placebo/Standard care] 11.14 1.91 8.00 10 11 12 15
#> rank[stroke = 1: Triflusal] 12.28 3.03 5.00 10 13 14 17
#> rank[stroke = 1: Ximelagatran] 3.10 1.33 1.00 2 3 4 6
#> Bulk_ESS Tail_ESS Rhat
#> rank[stroke = 1: Standard adjusted dose anti-coagulant] 2846 3331 1
#> rank[stroke = 1: Acenocoumarol] 4573 NA 1
#> rank[stroke = 1: Alternate day aspirin] 4019 2779 1
#> rank[stroke = 1: Dipyridamole] 4392 3168 1
#> rank[stroke = 1: Fixed dose warfarin] 3628 3410 1
#> rank[stroke = 1: Fixed dose warfarin + low dose aspirin] 3558 NA 1
#> rank[stroke = 1: Fixed dose warfarin + medium dose aspirin] 3035 NA 1
#> rank[stroke = 1: High dose aspirin] 4822 3203 1
#> rank[stroke = 1: Indobufen] 4516 2915 1
#> rank[stroke = 1: Low adjusted dose anti-coagulant] 2597 2531 1
#> rank[stroke = 1: Low dose aspirin] 4058 3326 1
#> rank[stroke = 1: Low dose aspirin + copidogrel] 4248 3262 1
#> rank[stroke = 1: Low dose aspirin + dipyridamole] 4378 2658 1
#> rank[stroke = 1: Medium dose aspirin] 4399 3136 1
#> rank[stroke = 1: Placebo/Standard care] 4474 3436 1
#> rank[stroke = 1: Triflusal] 4996 NA 1
#> rank[stroke = 1: Ximelagatran] 3420 3302 1
plot(af_4b_ranks)
(af_4b_rankprobs <- posterior_rank_probs(af_fit_4b,
newdata = data.frame(stroke = c(0, 1),
label = c("stroke = 0", "stroke = 1")),
study = label))
#> ------------------------------------------------------------- Study: stroke = 0 ----
#>
#> Covariate values:
#> stroke
#> 0
#>
#> p_rank[1] p_rank[2] p_rank[3] p_rank[4]
#> d[stroke = 0: Standard adjusted dose anti-coagulant] 0.00 0.00 0.01 0.03
#> d[stroke = 0: Acenocoumarol] 0.25 0.24 0.14 0.09
#> d[stroke = 0: Alternate day aspirin] 0.43 0.15 0.09 0.06
#> d[stroke = 0: Dipyridamole] 0.00 0.01 0.01 0.02
#> d[stroke = 0: Fixed dose warfarin] 0.00 0.00 0.00 0.00
#> d[stroke = 0: Fixed dose warfarin + low dose aspirin] 0.00 0.00 0.01 0.03
#> d[stroke = 0: Fixed dose warfarin + medium dose aspirin] 0.05 0.09 0.12 0.11
#> d[stroke = 0: High dose aspirin] 0.03 0.06 0.07 0.08
#> d[stroke = 0: Indobufen] 0.17 0.26 0.20 0.14
#> d[stroke = 0: Low adjusted dose anti-coagulant] 0.04 0.13 0.22 0.20
#> d[stroke = 0: Low dose aspirin] 0.00 0.00 0.00 0.00
#> d[stroke = 0: Low dose aspirin + copidogrel] 0.00 0.00 0.00 0.01
#> d[stroke = 0: Low dose aspirin + dipyridamole] 0.01 0.03 0.06 0.10
#> d[stroke = 0: Medium dose aspirin] 0.00 0.00 0.00 0.02
#> d[stroke = 0: Placebo/Standard care] 0.00 0.00 0.00 0.00
#> d[stroke = 0: Triflusal] 0.00 0.00 0.01 0.02
#> d[stroke = 0: Ximelagatran] 0.00 0.02 0.04 0.10
#> p_rank[5] p_rank[6] p_rank[7] p_rank[8]
#> d[stroke = 0: Standard adjusted dose anti-coagulant] 0.07 0.14 0.21 0.20
#> d[stroke = 0: Acenocoumarol] 0.06 0.05 0.02 0.02
#> d[stroke = 0: Alternate day aspirin] 0.04 0.03 0.02 0.02
#> d[stroke = 0: Dipyridamole] 0.03 0.05 0.06 0.06
#> d[stroke = 0: Fixed dose warfarin] 0.01 0.01 0.01 0.02
#> d[stroke = 0: Fixed dose warfarin + low dose aspirin] 0.04 0.05 0.05 0.05
#> d[stroke = 0: Fixed dose warfarin + medium dose aspirin] 0.10 0.07 0.06 0.05
#> d[stroke = 0: High dose aspirin] 0.07 0.05 0.04 0.05
#> d[stroke = 0: Indobufen] 0.07 0.05 0.03 0.02
#> d[stroke = 0: Low adjusted dose anti-coagulant] 0.15 0.08 0.05 0.04
#> d[stroke = 0: Low dose aspirin] 0.00 0.00 0.00 0.01
#> d[stroke = 0: Low dose aspirin + copidogrel] 0.01 0.02 0.03 0.04
#> d[stroke = 0: Low dose aspirin + dipyridamole] 0.12 0.10 0.09 0.09
#> d[stroke = 0: Medium dose aspirin] 0.04 0.10 0.14 0.18
#> d[stroke = 0: Placebo/Standard care] 0.00 0.00 0.00 0.00
#> d[stroke = 0: Triflusal] 0.03 0.03 0.03 0.03
#> d[stroke = 0: Ximelagatran] 0.16 0.17 0.13 0.11
#> p_rank[9] p_rank[10] p_rank[11] p_rank[12]
#> d[stroke = 0: Standard adjusted dose anti-coagulant] 0.17 0.10 0.04 0.01
#> d[stroke = 0: Acenocoumarol] 0.02 0.02 0.02 0.01
#> d[stroke = 0: Alternate day aspirin] 0.01 0.02 0.02 0.02
#> d[stroke = 0: Dipyridamole] 0.07 0.08 0.10 0.10
#> d[stroke = 0: Fixed dose warfarin] 0.03 0.04 0.06 0.07
#> d[stroke = 0: Fixed dose warfarin + low dose aspirin] 0.08 0.09 0.10 0.10
#> d[stroke = 0: Fixed dose warfarin + medium dose aspirin] 0.05 0.05 0.04 0.04
#> d[stroke = 0: High dose aspirin] 0.04 0.05 0.04 0.04
#> d[stroke = 0: Indobufen] 0.02 0.01 0.01 0.01
#> d[stroke = 0: Low adjusted dose anti-coagulant] 0.03 0.02 0.02 0.01
#> d[stroke = 0: Low dose aspirin] 0.03 0.06 0.11 0.18
#> d[stroke = 0: Low dose aspirin + copidogrel] 0.06 0.10 0.13 0.14
#> d[stroke = 0: Low dose aspirin + dipyridamole] 0.08 0.07 0.06 0.05
#> d[stroke = 0: Medium dose aspirin] 0.18 0.16 0.09 0.05
#> d[stroke = 0: Placebo/Standard care] 0.01 0.02 0.05 0.08
#> d[stroke = 0: Triflusal] 0.04 0.04 0.05 0.06
#> d[stroke = 0: Ximelagatran] 0.09 0.07 0.05 0.03
#> p_rank[13] p_rank[14] p_rank[15]
#> d[stroke = 0: Standard adjusted dose anti-coagulant] 0.00 0.00 0.00
#> d[stroke = 0: Acenocoumarol] 0.01 0.01 0.01
#> d[stroke = 0: Alternate day aspirin] 0.02 0.02 0.01
#> d[stroke = 0: Dipyridamole] 0.09 0.09 0.08
#> d[stroke = 0: Fixed dose warfarin] 0.09 0.09 0.14
#> d[stroke = 0: Fixed dose warfarin + low dose aspirin] 0.09 0.09 0.09
#> d[stroke = 0: Fixed dose warfarin + medium dose aspirin] 0.03 0.03 0.04
#> d[stroke = 0: High dose aspirin] 0.05 0.05 0.05
#> d[stroke = 0: Indobufen] 0.01 0.00 0.00
#> d[stroke = 0: Low adjusted dose anti-coagulant] 0.00 0.00 0.00
#> d[stroke = 0: Low dose aspirin] 0.21 0.20 0.13
#> d[stroke = 0: Low dose aspirin + copidogrel] 0.14 0.12 0.11
#> d[stroke = 0: Low dose aspirin + dipyridamole] 0.04 0.04 0.02
#> d[stroke = 0: Medium dose aspirin] 0.02 0.01 0.00
#> d[stroke = 0: Placebo/Standard care] 0.13 0.18 0.22
#> d[stroke = 0: Triflusal] 0.06 0.07 0.09
#> d[stroke = 0: Ximelagatran] 0.01 0.00 0.00
#> p_rank[16] p_rank[17]
#> d[stroke = 0: Standard adjusted dose anti-coagulant] 0.00 0.00
#> d[stroke = 0: Acenocoumarol] 0.01 0.00
#> d[stroke = 0: Alternate day aspirin] 0.02 0.02
#> d[stroke = 0: Dipyridamole] 0.07 0.05
#> d[stroke = 0: Fixed dose warfarin] 0.20 0.23
#> d[stroke = 0: Fixed dose warfarin + low dose aspirin] 0.07 0.05
#> d[stroke = 0: Fixed dose warfarin + medium dose aspirin] 0.03 0.02
#> d[stroke = 0: High dose aspirin] 0.08 0.14
#> d[stroke = 0: Indobufen] 0.00 0.00
#> d[stroke = 0: Low adjusted dose anti-coagulant] 0.00 0.00
#> d[stroke = 0: Low dose aspirin] 0.06 0.02
#> d[stroke = 0: Low dose aspirin + copidogrel] 0.07 0.03
#> d[stroke = 0: Low dose aspirin + dipyridamole] 0.02 0.01
#> d[stroke = 0: Medium dose aspirin] 0.00 0.00
#> d[stroke = 0: Placebo/Standard care] 0.21 0.10
#> d[stroke = 0: Triflusal] 0.15 0.32
#> d[stroke = 0: Ximelagatran] 0.00 0.00
#>
#> ------------------------------------------------------------- Study: stroke = 1 ----
#>
#> Covariate values:
#> stroke
#> 1
#>
#> p_rank[1] p_rank[2] p_rank[3] p_rank[4]
#> d[stroke = 1: Standard adjusted dose anti-coagulant] 0.01 0.13 0.34 0.34
#> d[stroke = 1: Acenocoumarol] 0.03 0.02 0.01 0.02
#> d[stroke = 1: Alternate day aspirin] 0.36 0.10 0.05 0.07
#> d[stroke = 1: Dipyridamole] 0.00 0.00 0.00 0.00
#> d[stroke = 1: Fixed dose warfarin] 0.00 0.01 0.02 0.06
#> d[stroke = 1: Fixed dose warfarin + low dose aspirin] 0.00 0.01 0.00 0.00
#> d[stroke = 1: Fixed dose warfarin + medium dose aspirin] 0.00 0.00 0.00 0.00
#> d[stroke = 1: High dose aspirin] 0.02 0.03 0.03 0.03
#> d[stroke = 1: Indobufen] 0.04 0.09 0.10 0.19
#> d[stroke = 1: Low adjusted dose anti-coagulant] 0.45 0.33 0.11 0.06
#> d[stroke = 1: Low dose aspirin] 0.00 0.00 0.00 0.00
#> d[stroke = 1: Low dose aspirin + copidogrel] 0.00 0.00 0.00 0.00
#> d[stroke = 1: Low dose aspirin + dipyridamole] 0.00 0.01 0.01 0.02
#> d[stroke = 1: Medium dose aspirin] 0.00 0.00 0.00 0.00
#> d[stroke = 1: Placebo/Standard care] 0.00 0.00 0.00 0.00
#> d[stroke = 1: Triflusal] 0.00 0.00 0.00 0.01
#> d[stroke = 1: Ximelagatran] 0.08 0.27 0.32 0.19
#> p_rank[5] p_rank[6] p_rank[7] p_rank[8]
#> d[stroke = 1: Standard adjusted dose anti-coagulant] 0.13 0.04 0.01 0.00
#> d[stroke = 1: Acenocoumarol] 0.01 0.02 0.02 0.02
#> d[stroke = 1: Alternate day aspirin] 0.08 0.09 0.05 0.03
#> d[stroke = 1: Dipyridamole] 0.01 0.04 0.08 0.11
#> d[stroke = 1: Fixed dose warfarin] 0.19 0.26 0.15 0.09
#> d[stroke = 1: Fixed dose warfarin + low dose aspirin] 0.00 0.01 0.01 0.01
#> d[stroke = 1: Fixed dose warfarin + medium dose aspirin] 0.00 0.00 0.01 0.01
#> d[stroke = 1: High dose aspirin] 0.06 0.10 0.10 0.08
#> d[stroke = 1: Indobufen] 0.26 0.16 0.08 0.03
#> d[stroke = 1: Low adjusted dose anti-coagulant] 0.04 0.01 0.00 0.00
#> d[stroke = 1: Low dose aspirin] 0.00 0.00 0.01 0.02
#> d[stroke = 1: Low dose aspirin + copidogrel] 0.01 0.02 0.04 0.07
#> d[stroke = 1: Low dose aspirin + dipyridamole] 0.07 0.13 0.20 0.15
#> d[stroke = 1: Medium dose aspirin] 0.01 0.06 0.19 0.26
#> d[stroke = 1: Placebo/Standard care] 0.00 0.01 0.01 0.05
#> d[stroke = 1: Triflusal] 0.02 0.03 0.04 0.05
#> d[stroke = 1: Ximelagatran] 0.09 0.03 0.01 0.00
#> p_rank[9] p_rank[10] p_rank[11] p_rank[12]
#> d[stroke = 1: Standard adjusted dose anti-coagulant] 0.00 0.00 0.00 0.00
#> d[stroke = 1: Acenocoumarol] 0.01 0.01 0.01 0.02
#> d[stroke = 1: Alternate day aspirin] 0.03 0.02 0.02 0.02
#> d[stroke = 1: Dipyridamole] 0.12 0.12 0.13 0.13
#> d[stroke = 1: Fixed dose warfarin] 0.06 0.04 0.03 0.03
#> d[stroke = 1: Fixed dose warfarin + low dose aspirin] 0.01 0.01 0.01 0.01
#> d[stroke = 1: Fixed dose warfarin + medium dose aspirin] 0.01 0.01 0.01 0.01
#> d[stroke = 1: High dose aspirin] 0.07 0.07 0.06 0.06
#> d[stroke = 1: Indobufen] 0.02 0.01 0.01 0.01
#> d[stroke = 1: Low adjusted dose anti-coagulant] 0.00 0.00 0.00 0.00
#> d[stroke = 1: Low dose aspirin] 0.06 0.12 0.17 0.23
#> d[stroke = 1: Low dose aspirin + copidogrel] 0.10 0.12 0.15 0.17
#> d[stroke = 1: Low dose aspirin + dipyridamole] 0.11 0.09 0.07 0.05
#> d[stroke = 1: Medium dose aspirin] 0.23 0.13 0.07 0.03
#> d[stroke = 1: Placebo/Standard care] 0.12 0.19 0.21 0.17
#> d[stroke = 1: Triflusal] 0.05 0.05 0.05 0.07
#> d[stroke = 1: Ximelagatran] 0.00 0.00 0.00 0.00
#> p_rank[13] p_rank[14] p_rank[15]
#> d[stroke = 1: Standard adjusted dose anti-coagulant] 0.00 0.00 0.00
#> d[stroke = 1: Acenocoumarol] 0.02 0.04 0.46
#> d[stroke = 1: Alternate day aspirin] 0.03 0.03 0.01
#> d[stroke = 1: Dipyridamole] 0.12 0.09 0.03
#> d[stroke = 1: Fixed dose warfarin] 0.02 0.02 0.01
#> d[stroke = 1: Fixed dose warfarin + low dose aspirin] 0.01 0.01 0.05
#> d[stroke = 1: Fixed dose warfarin + medium dose aspirin] 0.01 0.01 0.26
#> d[stroke = 1: High dose aspirin] 0.10 0.13 0.04
#> d[stroke = 1: Indobufen] 0.00 0.00 0.00
#> d[stroke = 1: Low adjusted dose anti-coagulant] 0.00 0.00 0.00
#> d[stroke = 1: Low dose aspirin] 0.21 0.11 0.04
#> d[stroke = 1: Low dose aspirin + copidogrel] 0.17 0.10 0.03
#> d[stroke = 1: Low dose aspirin + dipyridamole] 0.04 0.02 0.01
#> d[stroke = 1: Medium dose aspirin] 0.01 0.00 0.00
#> d[stroke = 1: Placebo/Standard care] 0.13 0.07 0.02
#> d[stroke = 1: Triflusal] 0.13 0.35 0.06
#> d[stroke = 1: Ximelagatran] 0.00 0.00 0.00
#> p_rank[16] p_rank[17]
#> d[stroke = 1: Standard adjusted dose anti-coagulant] 0.00 0.00
#> d[stroke = 1: Acenocoumarol] 0.20 0.07
#> d[stroke = 1: Alternate day aspirin] 0.00 0.00
#> d[stroke = 1: Dipyridamole] 0.01 0.01
#> d[stroke = 1: Fixed dose warfarin] 0.00 0.00
#> d[stroke = 1: Fixed dose warfarin + low dose aspirin] 0.18 0.67
#> d[stroke = 1: Fixed dose warfarin + medium dose aspirin] 0.51 0.16
#> d[stroke = 1: High dose aspirin] 0.02 0.02
#> d[stroke = 1: Indobufen] 0.00 0.00
#> d[stroke = 1: Low adjusted dose anti-coagulant] 0.00 0.00
#> d[stroke = 1: Low dose aspirin] 0.02 0.01
#> d[stroke = 1: Low dose aspirin + copidogrel] 0.01 0.01
#> d[stroke = 1: Low dose aspirin + dipyridamole] 0.00 0.00
#> d[stroke = 1: Medium dose aspirin] 0.00 0.00
#> d[stroke = 1: Placebo/Standard care] 0.01 0.00
#> d[stroke = 1: Triflusal] 0.03 0.06
#> d[stroke = 1: Ximelagatran] 0.00 0.00
# Modify the default output with ggplot2 functionality
library(ggplot2)
plot(af_4b_rankprobs) +
facet_grid(Treatment~Study, labeller = label_wrap_gen(20)) +
theme(strip.text.y = element_text(angle = 0))
(af_4b_cumrankprobs <- posterior_rank_probs(af_fit_4b, cumulative = TRUE,
newdata = data.frame(stroke = c(0, 1),
label = c("stroke = 0", "stroke = 1")),
study = label))
#> ------------------------------------------------------------- Study: stroke = 0 ----
#>
#> Covariate values:
#> stroke
#> 0
#>
#> p_rank[1] p_rank[2] p_rank[3] p_rank[4]
#> d[stroke = 0: Standard adjusted dose anti-coagulant] 0.00 0.00 0.01 0.04
#> d[stroke = 0: Acenocoumarol] 0.25 0.50 0.64 0.73
#> d[stroke = 0: Alternate day aspirin] 0.43 0.58 0.67 0.73
#> d[stroke = 0: Dipyridamole] 0.00 0.01 0.02 0.04
#> d[stroke = 0: Fixed dose warfarin] 0.00 0.00 0.00 0.01
#> d[stroke = 0: Fixed dose warfarin + low dose aspirin] 0.00 0.01 0.02 0.04
#> d[stroke = 0: Fixed dose warfarin + medium dose aspirin] 0.05 0.14 0.26 0.37
#> d[stroke = 0: High dose aspirin] 0.03 0.10 0.17 0.24
#> d[stroke = 0: Indobufen] 0.17 0.43 0.63 0.77
#> d[stroke = 0: Low adjusted dose anti-coagulant] 0.04 0.17 0.40 0.60
#> d[stroke = 0: Low dose aspirin] 0.00 0.00 0.00 0.00
#> d[stroke = 0: Low dose aspirin + copidogrel] 0.00 0.00 0.00 0.01
#> d[stroke = 0: Low dose aspirin + dipyridamole] 0.01 0.04 0.11 0.21
#> d[stroke = 0: Medium dose aspirin] 0.00 0.00 0.01 0.02
#> d[stroke = 0: Placebo/Standard care] 0.00 0.00 0.00 0.00
#> d[stroke = 0: Triflusal] 0.00 0.01 0.01 0.03
#> d[stroke = 0: Ximelagatran] 0.00 0.02 0.06 0.16
#> p_rank[5] p_rank[6] p_rank[7] p_rank[8]
#> d[stroke = 0: Standard adjusted dose anti-coagulant] 0.11 0.25 0.46 0.67
#> d[stroke = 0: Acenocoumarol] 0.79 0.84 0.86 0.88
#> d[stroke = 0: Alternate day aspirin] 0.77 0.80 0.82 0.84
#> d[stroke = 0: Dipyridamole] 0.08 0.13 0.19 0.26
#> d[stroke = 0: Fixed dose warfarin] 0.01 0.02 0.04 0.05
#> d[stroke = 0: Fixed dose warfarin + low dose aspirin] 0.08 0.13 0.18 0.24
#> d[stroke = 0: Fixed dose warfarin + medium dose aspirin] 0.47 0.54 0.60 0.65
#> d[stroke = 0: High dose aspirin] 0.31 0.36 0.40 0.45
#> d[stroke = 0: Indobufen] 0.84 0.89 0.91 0.94
#> d[stroke = 0: Low adjusted dose anti-coagulant] 0.75 0.83 0.89 0.92
#> d[stroke = 0: Low dose aspirin] 0.00 0.00 0.00 0.01
#> d[stroke = 0: Low dose aspirin + copidogrel] 0.02 0.03 0.06 0.10
#> d[stroke = 0: Low dose aspirin + dipyridamole] 0.33 0.42 0.51 0.60
#> d[stroke = 0: Medium dose aspirin] 0.06 0.17 0.31 0.49
#> d[stroke = 0: Placebo/Standard care] 0.00 0.00 0.00 0.01
#> d[stroke = 0: Triflusal] 0.05 0.08 0.11 0.14
#> d[stroke = 0: Ximelagatran] 0.33 0.50 0.63 0.74
#> p_rank[9] p_rank[10] p_rank[11] p_rank[12]
#> d[stroke = 0: Standard adjusted dose anti-coagulant] 0.84 0.94 0.98 0.99
#> d[stroke = 0: Acenocoumarol] 0.90 0.92 0.94 0.95
#> d[stroke = 0: Alternate day aspirin] 0.86 0.88 0.89 0.91
#> d[stroke = 0: Dipyridamole] 0.33 0.41 0.51 0.62
#> d[stroke = 0: Fixed dose warfarin] 0.08 0.12 0.18 0.25
#> d[stroke = 0: Fixed dose warfarin + low dose aspirin] 0.31 0.41 0.51 0.61
#> d[stroke = 0: Fixed dose warfarin + medium dose aspirin] 0.70 0.75 0.80 0.84
#> d[stroke = 0: High dose aspirin] 0.49 0.54 0.59 0.63
#> d[stroke = 0: Indobufen] 0.95 0.97 0.98 0.98
#> d[stroke = 0: Low adjusted dose anti-coagulant] 0.95 0.97 0.99 0.99
#> d[stroke = 0: Low dose aspirin] 0.04 0.10 0.21 0.39
#> d[stroke = 0: Low dose aspirin + copidogrel] 0.17 0.27 0.39 0.53
#> d[stroke = 0: Low dose aspirin + dipyridamole] 0.68 0.75 0.82 0.87
#> d[stroke = 0: Medium dose aspirin] 0.67 0.83 0.92 0.97
#> d[stroke = 0: Placebo/Standard care] 0.02 0.03 0.08 0.16
#> d[stroke = 0: Triflusal] 0.18 0.21 0.26 0.32
#> d[stroke = 0: Ximelagatran] 0.83 0.90 0.95 0.98
#> p_rank[13] p_rank[14] p_rank[15]
#> d[stroke = 0: Standard adjusted dose anti-coagulant] 1.00 1.00 1.00
#> d[stroke = 0: Acenocoumarol] 0.96 0.98 0.99
#> d[stroke = 0: Alternate day aspirin] 0.93 0.95 0.96
#> d[stroke = 0: Dipyridamole] 0.71 0.80 0.88
#> d[stroke = 0: Fixed dose warfarin] 0.33 0.42 0.57
#> d[stroke = 0: Fixed dose warfarin + low dose aspirin] 0.70 0.79 0.88
#> d[stroke = 0: Fixed dose warfarin + medium dose aspirin] 0.87 0.90 0.94
#> d[stroke = 0: High dose aspirin] 0.68 0.73 0.78
#> d[stroke = 0: Indobufen] 0.99 0.99 1.00
#> d[stroke = 0: Low adjusted dose anti-coagulant] 1.00 1.00 1.00
#> d[stroke = 0: Low dose aspirin] 0.60 0.80 0.92
#> d[stroke = 0: Low dose aspirin + copidogrel] 0.67 0.79 0.90
#> d[stroke = 0: Low dose aspirin + dipyridamole] 0.91 0.95 0.97
#> d[stroke = 0: Medium dose aspirin] 0.99 1.00 1.00
#> d[stroke = 0: Placebo/Standard care] 0.29 0.47 0.69
#> d[stroke = 0: Triflusal] 0.38 0.44 0.53
#> d[stroke = 0: Ximelagatran] 0.99 1.00 1.00
#> p_rank[16] p_rank[17]
#> d[stroke = 0: Standard adjusted dose anti-coagulant] 1.00 1
#> d[stroke = 0: Acenocoumarol] 1.00 1
#> d[stroke = 0: Alternate day aspirin] 0.98 1
#> d[stroke = 0: Dipyridamole] 0.95 1
#> d[stroke = 0: Fixed dose warfarin] 0.77 1
#> d[stroke = 0: Fixed dose warfarin + low dose aspirin] 0.95 1
#> d[stroke = 0: Fixed dose warfarin + medium dose aspirin] 0.98 1
#> d[stroke = 0: High dose aspirin] 0.86 1
#> d[stroke = 0: Indobufen] 1.00 1
#> d[stroke = 0: Low adjusted dose anti-coagulant] 1.00 1
#> d[stroke = 0: Low dose aspirin] 0.98 1
#> d[stroke = 0: Low dose aspirin + copidogrel] 0.97 1
#> d[stroke = 0: Low dose aspirin + dipyridamole] 0.99 1
#> d[stroke = 0: Medium dose aspirin] 1.00 1
#> d[stroke = 0: Placebo/Standard care] 0.90 1
#> d[stroke = 0: Triflusal] 0.68 1
#> d[stroke = 0: Ximelagatran] 1.00 1
#>
#> ------------------------------------------------------------- Study: stroke = 1 ----
#>
#> Covariate values:
#> stroke
#> 1
#>
#> p_rank[1] p_rank[2] p_rank[3] p_rank[4]
#> d[stroke = 1: Standard adjusted dose anti-coagulant] 0.01 0.14 0.48 0.82
#> d[stroke = 1: Acenocoumarol] 0.03 0.06 0.07 0.09
#> d[stroke = 1: Alternate day aspirin] 0.36 0.47 0.51 0.58
#> d[stroke = 1: Dipyridamole] 0.00 0.00 0.00 0.01
#> d[stroke = 1: Fixed dose warfarin] 0.00 0.02 0.03 0.09
#> d[stroke = 1: Fixed dose warfarin + low dose aspirin] 0.00 0.01 0.01 0.02
#> d[stroke = 1: Fixed dose warfarin + medium dose aspirin] 0.00 0.00 0.00 0.00
#> d[stroke = 1: High dose aspirin] 0.02 0.05 0.07 0.10
#> d[stroke = 1: Indobufen] 0.04 0.12 0.22 0.41
#> d[stroke = 1: Low adjusted dose anti-coagulant] 0.45 0.78 0.88 0.94
#> d[stroke = 1: Low dose aspirin] 0.00 0.00 0.00 0.00
#> d[stroke = 1: Low dose aspirin + copidogrel] 0.00 0.00 0.00 0.00
#> d[stroke = 1: Low dose aspirin + dipyridamole] 0.00 0.01 0.02 0.05
#> d[stroke = 1: Medium dose aspirin] 0.00 0.00 0.00 0.00
#> d[stroke = 1: Placebo/Standard care] 0.00 0.00 0.00 0.00
#> d[stroke = 1: Triflusal] 0.00 0.00 0.01 0.01
#> d[stroke = 1: Ximelagatran] 0.08 0.35 0.67 0.87
#> p_rank[5] p_rank[6] p_rank[7] p_rank[8]
#> d[stroke = 1: Standard adjusted dose anti-coagulant] 0.95 0.99 1.00 1.00
#> d[stroke = 1: Acenocoumarol] 0.10 0.13 0.14 0.16
#> d[stroke = 1: Alternate day aspirin] 0.66 0.75 0.80 0.84
#> d[stroke = 1: Dipyridamole] 0.02 0.06 0.14 0.25
#> d[stroke = 1: Fixed dose warfarin] 0.28 0.54 0.69 0.78
#> d[stroke = 1: Fixed dose warfarin + low dose aspirin] 0.02 0.03 0.04 0.05
#> d[stroke = 1: Fixed dose warfarin + medium dose aspirin] 0.00 0.01 0.01 0.03
#> d[stroke = 1: High dose aspirin] 0.16 0.26 0.36 0.44
#> d[stroke = 1: Indobufen] 0.67 0.83 0.91 0.94
#> d[stroke = 1: Low adjusted dose anti-coagulant] 0.98 0.99 1.00 1.00
#> d[stroke = 1: Low dose aspirin] 0.00 0.00 0.01 0.03
#> d[stroke = 1: Low dose aspirin + copidogrel] 0.01 0.03 0.07 0.14
#> d[stroke = 1: Low dose aspirin + dipyridamole] 0.12 0.25 0.45 0.61
#> d[stroke = 1: Medium dose aspirin] 0.02 0.07 0.26 0.52
#> d[stroke = 1: Placebo/Standard care] 0.00 0.01 0.02 0.07
#> d[stroke = 1: Triflusal] 0.03 0.06 0.10 0.15
#> d[stroke = 1: Ximelagatran] 0.96 0.98 0.99 1.00
#> p_rank[9] p_rank[10] p_rank[11] p_rank[12]
#> d[stroke = 1: Standard adjusted dose anti-coagulant] 1.00 1.00 1.00 1.00
#> d[stroke = 1: Acenocoumarol] 0.18 0.19 0.20 0.22
#> d[stroke = 1: Alternate day aspirin] 0.86 0.89 0.91 0.93
#> d[stroke = 1: Dipyridamole] 0.36 0.48 0.61 0.74
#> d[stroke = 1: Fixed dose warfarin] 0.83 0.88 0.91 0.94
#> d[stroke = 1: Fixed dose warfarin + low dose aspirin] 0.06 0.07 0.07 0.08
#> d[stroke = 1: Fixed dose warfarin + medium dose aspirin] 0.03 0.04 0.05 0.06
#> d[stroke = 1: High dose aspirin] 0.51 0.58 0.64 0.69
#> d[stroke = 1: Indobufen] 0.96 0.98 0.99 0.99
#> d[stroke = 1: Low adjusted dose anti-coagulant] 1.00 1.00 1.00 1.00
#> d[stroke = 1: Low dose aspirin] 0.10 0.21 0.39 0.62
#> d[stroke = 1: Low dose aspirin + copidogrel] 0.24 0.36 0.51 0.68
#> d[stroke = 1: Low dose aspirin + dipyridamole] 0.72 0.81 0.88 0.93
#> d[stroke = 1: Medium dose aspirin] 0.75 0.88 0.95 0.98
#> d[stroke = 1: Placebo/Standard care] 0.19 0.38 0.59 0.76
#> d[stroke = 1: Triflusal] 0.20 0.25 0.31 0.38
#> d[stroke = 1: Ximelagatran] 1.00 1.00 1.00 1.00
#> p_rank[13] p_rank[14] p_rank[15]
#> d[stroke = 1: Standard adjusted dose anti-coagulant] 1.00 1.00 1.00
#> d[stroke = 1: Acenocoumarol] 0.24 0.28 0.73
#> d[stroke = 1: Alternate day aspirin] 0.96 0.99 0.99
#> d[stroke = 1: Dipyridamole] 0.86 0.95 0.98
#> d[stroke = 1: Fixed dose warfarin] 0.96 0.99 0.99
#> d[stroke = 1: Fixed dose warfarin + low dose aspirin] 0.09 0.10 0.15
#> d[stroke = 1: Fixed dose warfarin + medium dose aspirin] 0.07 0.08 0.34
#> d[stroke = 1: High dose aspirin] 0.79 0.93 0.96
#> d[stroke = 1: Indobufen] 1.00 1.00 1.00
#> d[stroke = 1: Low adjusted dose anti-coagulant] 1.00 1.00 1.00
#> d[stroke = 1: Low dose aspirin] 0.83 0.94 0.98
#> d[stroke = 1: Low dose aspirin + copidogrel] 0.85 0.94 0.98
#> d[stroke = 1: Low dose aspirin + dipyridamole] 0.97 0.99 1.00
#> d[stroke = 1: Medium dose aspirin] 0.99 1.00 1.00
#> d[stroke = 1: Placebo/Standard care] 0.89 0.96 0.98
#> d[stroke = 1: Triflusal] 0.51 0.86 0.92
#> d[stroke = 1: Ximelagatran] 1.00 1.00 1.00
#> p_rank[16] p_rank[17]
#> d[stroke = 1: Standard adjusted dose anti-coagulant] 1.00 1
#> d[stroke = 1: Acenocoumarol] 0.93 1
#> d[stroke = 1: Alternate day aspirin] 1.00 1
#> d[stroke = 1: Dipyridamole] 0.99 1
#> d[stroke = 1: Fixed dose warfarin] 1.00 1
#> d[stroke = 1: Fixed dose warfarin + low dose aspirin] 0.33 1
#> d[stroke = 1: Fixed dose warfarin + medium dose aspirin] 0.84 1
#> d[stroke = 1: High dose aspirin] 0.98 1
#> d[stroke = 1: Indobufen] 1.00 1
#> d[stroke = 1: Low adjusted dose anti-coagulant] 1.00 1
#> d[stroke = 1: Low dose aspirin] 0.99 1
#> d[stroke = 1: Low dose aspirin + copidogrel] 0.99 1
#> d[stroke = 1: Low dose aspirin + dipyridamole] 1.00 1
#> d[stroke = 1: Medium dose aspirin] 1.00 1
#> d[stroke = 1: Placebo/Standard care] 1.00 1
#> d[stroke = 1: Triflusal] 0.94 1
#> d[stroke = 1: Ximelagatran] 1.00 1
plot(af_4b_cumrankprobs) +
facet_grid(Treatment~Study, labeller = label_wrap_gen(20)) +
theme(strip.text.y = element_text(angle = 0))
Model fit can be checked using the dic()
function:
(af_dic_1 <- dic(af_fit_1))
#> Residual deviance: 60.4 (on 61 data points)
#> pD: 48.7
#> DIC: 109.1
(af_dic_4b <- dic(af_fit_4b))
#> Residual deviance: 58.4 (on 61 data points)
#> pD: 47.7
#> DIC: 106.1
Both models fit the data well, having posterior mean residual deviance close to the number of data points. The DIC is slightly lower for the meta-regression model, although only by a couple of points (substantial differences are usually considered 3-5 points). The estimated heterogeneity standard deviation is much lower for the meta-regression model, suggesting that adjusting for the proportion of patients with prior stroke is explaining some of the heterogeneity in the data.
We can also examine the residual deviance contributions with the
corresponding plot()
method.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.