Clinical Trial Design and Data Analysis Functions
Two-Sample Tests for Growth Curves under Dependent Right Censoring
Survival curves analysis of covariance
Internal clinfun functions
Concordance Probability Estimate for Cox model
Heller Explained Relative Risk
Survival time quantile as a function of covariate
Comparing the AUC from ROC curves from nested binary regression
Trial Designs Based On Fisher's Exact Test
Group Sequential Designs
Exact/permutation version of Jonckheere-Terpstra test
Kendall's tau-b estimate
Two-stage boundary operating characteristics
Permutation version of survdiff
Simon's 2-stage Phase II design
Exact single stage Phase II design
Power of k-sample rank test under Lehmann alternative
Probability of selection under pick the winner rule
Nonparametric area under the ROC curve
Empirical ROC curve
Permutation test to compare ROC curve
Functions to plot and compare ROC curves.
Stopping rule for toxicity/futility monitoring
Admissible design options between Minimax and Optimal
Inference following a two-stage design for binary response
Utilities to make your clinical collaborations easier if not fun. It contains functions for designing studies such as Simon 2-stage and group sequential designs and for data analysis such as Jonckheere-Terpstra test and estimating survival quantiles.