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If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
To cite casebase in publications use:
Bhatnagar S, Turgeon M, Islam J, Saarela O, Hanley J (2022). “casebase: An Alternative Framework for Survival Analysis and Comparison of Event Rates.” The R Journal, 14(3).
Hanley JA, Miettinen OS (2009). “Fitting smooth-in-time prognostic risk functions via logistic regression.” International Journal of Biostatistics, 5(1), 1125–1125.
Saarela O (2016). “A case-base sampling method for estimating recurrent event intensities.” Lifetime data analysis, 22(4), 589–605.
If competing risks analyis is used, please also cite
Saarela O, Arjas E (2015). “Non-parametric Bayesian Hazard Regression for Chronic Disease Risk Assessment.” Scandinavian Journal of Statistics, 42(2), 609–626.
Corresponding BibTeX entries:
@Article{,
title = {casebase: An Alternative Framework for Survival Analysis
and Comparison of Event Rates},
author = {Sahir Bhatnagar and Maxime Turgeon and Jesse Islam and
Olli Saarela and James Hanley},
journal = {The R Journal},
volume = {14},
number = {3},
year = {2022},
}
@Article{,
title = {Fitting smooth-in-time prognostic risk functions via
logistic regression},
author = {James A Hanley and Olli S Miettinen},
journal = {International Journal of Biostatistics},
volume = {5},
number = {1},
pages = {1125--1125},
year = {2009},
publisher = {Berkeley Electronic Press},
}
@Article{,
title = {A case-base sampling method for estimating recurrent event
intensities},
author = {Olli Saarela},
journal = {Lifetime data analysis},
volume = {22},
number = {4},
pages = {589--605},
year = {2016},
publisher = {Springer},
}
@Article{,
title = {Non-parametric Bayesian Hazard Regression for Chronic
Disease Risk Assessment},
author = {Olli Saarela and Elja Arjas},
journal = {Scandinavian Journal of Statistics},
year = {2015},
volume = {42},
number = {2},
pages = {609--626},
publisher = {Wiley Online Library},
}
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.