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clinfun (version 1.1.1)

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.

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Version

Install

install.packages('clinfun')

Monthly Downloads

2,030

Version

1.1.1

License

GPL (>= 2)

Maintainer

Venkatraman E Seshan

Last Published

March 7th, 2023

Functions in clinfun (1.1.1)

ROCanalysis

Functions to plot and compare ROC curves.
ph2simon

Simon's 2-stage Phase II design
permlogrank

Permutation version of survdiff
oc.twostage.bdry

Two-stage boundary operating characteristics
power.ladesign

Power of k-sample rank test under Lehmann alternative
ktau

Kendall's tau-b estimate
jonckheere.test

Exact/permutation version of Jonckheere-Terpstra test
pselect

Probability of selection under pick the winner rule
roc.curve

Empirical ROC curve
ph2single

Exact single stage Phase II design
roc.area.test

Nonparametric area under the ROC curve
twostage.admissible

Admissible design options between Minimax and Optimal
twostage.inference

Inference following a two-stage design for binary response
roc.perm.test

Permutation test to compare ROC curve
toxbdry

Stopping rule for toxicity/futility monitoring
aucVardiTest

Two-Sample Tests for Growth Curves under Dependent Right Censoring
gsdesign

Group Sequential Designs
deltaAUC

Comparing the AUC from ROC curves from nested binary regression
coxphQuantile

Survival time quantile as a function of covariate
coxphCPE

Concordance Probability Estimate for Cox model
calogrank

Survival curves analysis of covariance
clinfun-internal

Internal clinfun functions
fedesign

Trial Designs Based On Fisher's Exact Test
coxphERR

Heller Explained Relative Risk