MDDC-package |
Modified Detecting Deviating Cells Algorithm in Pharmacovigilance |
betablocker500 |
FDA dataset for beta blockers with 500 adverse events |
check_and_fix_contin_table |
Verifying and correcting the input I by J contingency table |
find_optimal_coef |
Find Adaptive Boxplot Coefficient 'coef' via Grid Search |
generate_contin_table_with_clustered_AE |
Generate simulated contingency tables with the option of incorporating adverse event correlation within clusters. |
generate_contin_table_with_clustered_AE_with_tol |
Generate simulated contingency tables with the option of incorporating adverse event correlation within clusters and tolerance for total report count. |
get_expected_counts |
Compute the Expected Count Matrix from a Contingency Table |
get_std_pearson_res |
Computing the standardized Pearson residuals for a given I \times J contingency table |
MDDC |
Modified Detecting Deviating Cells Algorithm in Pharmacovigilance |
mddc_boxplot |
Modified Detecting Deviating Cells (MDDC) algorithm for adverse event signal identification with boxplot method for cutoff selection. |
mddc_mc |
Modified Detecting Deviating Cells (MDDC) algorithm for adverse event signal identification with Monte Carlo (MC) method for cutoff selection. |
plot_heatmap |
Plot Heatmap |
report_drug_AE_pairs |
Report the potential adverse events for drugs from contingency table |
sedative1000 |
FDA dataset for sedatives with 1000 adverse events |
statin101 |
FDA statin dataset with 101 adverse events |
statin49 |
FDA statin dataset with 49 adverse events |
statin49_AE_idx |
Cluster index of the FDA statin dataset with 49 adverse events |