Learn R Programming

clinfun (version 1.1.5)

Clinical Trial Design and Data Analysis Functions

Description

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.

Copy Link

Version

Install

install.packages('clinfun')

Monthly Downloads

2,030

Version

1.1.5

License

GPL (>= 2)

Maintainer

Venkatraman E Seshan

Last Published

October 19th, 2023

Functions in clinfun (1.1.5)

Probability of selection under pick the winner rule

Permutation test to compare ROC curve

Stopping rule for toxicity/futility monitoring

twostage.admissible

Admissible design options between Minimax and Optimal

Permutation version of survdiff

twostage.inference

Inference following a two-stage design for binary response

Two-Sample Tests for Growth Curves under Dependent Right Censoring

Concordance Probability Estimate for Cox model

Group Sequential Designs

Functions to plot and compare ROC curves.

Empirical ROC curve

Survival time quantile as a function of covariate

Power of k-sample rank test under Lehmann alternative

Nonparametric area under the ROC curve

Comparing the AUC from ROC curves from nested binary regression

Kendall's tau-b estimate

clinfun-internal

Internal clinfun functions

oc.twostage.bdry

Two-stage boundary operating characteristics

jonckheere.test

Exact/permutation version of Jonckheere-Terpstra test

Exact single stage Phase II design

Heller Explained Relative Risk

Trial Designs Based On Fisher's Exact Test

Survival curves analysis of covariance

Simon's 2-stage Phase II design