Learn R Programming

trtswitch (version 0.1.9)

Treatment Switching

Description

Implements rank-preserving structural failure time model (RPSFTM), iterative parameter estimation (IPE), inverse probability of censoring weights (IPCW), and two-stage estimation (TSE) methods for treatment switching in randomized clinical trials.

Copy Link

Version

Install

install.packages('trtswitch')

Monthly Downloads

229

Version

0.1.9

License

GPL (>= 2)

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/kaifenglu/trtswitch

Maintainer

Kaifeng Lu

Last Published

September 3rd, 2025

Functions in trtswitch (0.1.9)

Print liferegr Object

Logistic Regression Models for Binary Data

Parametric Regression Models for Failure Time Data

Marginal Structural Model (MSM) Method for Treatment Switching

Log-Rank Test of Survival Curve Difference

Natural Cubic Spline Basis

QR Decomposition of a Matrix

print.logisregr

Print logisregr Object

Proportional Hazards Regression Models

residuals_phregr

Residuals for Proportional Hazards Regression Models

Rank Preserving Structural Failure Time Model (RPSFTM) for Treatment Switching

A simulated time-to-event data set with 10 replications

The repeated measures data from the "Six Cities" study of the health effects of air pollution (Ware et al. 1984).

The randomized clinical trial SHIVA data in long format from the ipcwswitch package

Urinary tract infection data from the logistf package

Print phregr Object

residuals_liferegr

Residuals for Parametric Regression Models for Failure Time Data

Estimate of Restricted Mean Survival Time Difference

Estimate of Restricted Mean Survival Time

recensor_sim_rpsftm

Simulation Study to Evaluate Recensoring Rules in RPSFTM

Survival Curve for Proportional Hazards Regression Models

The Simple Two-Stage Estimation (TSE) Method for Treatment Switching

Tobin's tobit data from the survival package

Split a survival data set at specified cut points

The Two-Stage Estimation (TSE) Method Using g-estimation for Treatment Switching

splineDesigncpp

B-Spline Design Matrix

Simulate Data for Treatment Switching

Brookmeyer-Crowley Confidence Interval for Quantiles of Right-Censored Time-to-Event Data

trtswitch-package

Treatment Switching

Simulate Survival Data for Two-Stage Estimation Method Using g-estimation

B-Spline Basis for Polynomial Splines

Stanford heart transplant data from the survival package

Estimate of Milestone Survival Difference

Kaplan-Meier Estimates of Survival Curve

Iterative Parameter Estimation (IPE) for Treatment Switching

Inverse Probability of Censoring Weights (IPCW) Method for Treatment Switching

Simulated CONCORDE trial data from the rpsftm package

The binary data from Cox and Snell (1989, pp. 10-11).

Acute myelogenous leukemia survival data from the survival package

Find Interval Numbers of Indices