Software
R packages for clinical trial design and survival analysis
Open-source R packages I develop and maintain. Each package has its own documentation site with function references and worked examples.
ipcw
New
Inverse probability of censoring weighted (IPCW) methods for right-censored data, with a single event or competing risks. Corrects Kaplan-Meier, cumulative incidence, Cox, and Fine-Gray analyses for dependent censoring. Companion to Zabor & Eaton (2025).
pak::pak("zabore/ipcw")ppseq
Design clinical trials with sequential Bayesian predictive probability monitoring for futility. Supports one-arm and two-arm trials; basket trial functionality is under development.
install.packages("ppseq")riskclustr
Functions for the study of etiologic heterogeneity: quantify how much risk factor effects differ across disease subtypes in case-control and case-only studies, and test for heterogeneity across subtypes or individual disease markers.
install.packages("riskclustr")condsurv
Conditional survival analysis: estimate survival probabilities given that a patient has already survived for some period of time.
pak::pak("zabore/condsurv")