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trtswitch (version 0.2.0)

Treatment Switching

Description

Implements rank-preserving structural failure time model (RPSFTM), iterative parameter estimation (IPE), inverse probability of censoring weights (IPCW), marginal structural model (MSM), simple two-stage estimation (TSEsimp), and improved two-stage with g-estimation (TSEgest) methods for treatment switching in randomized clinical trials.

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Install

install.packages('trtswitch')

Monthly Downloads

400

Version

0.2.0

License

GPL (>= 2)

Issues

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Repository

https://github.com/kaifenglu/trtswitch

Maintainer

Kaifeng Lu

Last Published

October 6th, 2025

Functions in trtswitch (0.2.0)

Print liferegr Object

Log-Rank Test of Survival Curve Difference

Logistic Regression Models for Binary Data

Natural Cubic Spline Basis

Marginal Structural Model (MSM) Method for Treatment Switching

Prepare Survival Data With Time-Dependent Covariates

Proportional Hazards Regression Models

Parametric Regression Models for Failure Time Data

Estimate of Milestone Survival Difference

Kaplan-Meier Estimates of Survival Curve

Print phregr Object

residuals_liferegr

Residuals for Parametric Regression Models for Failure Time Data

QR Decomposition of a Matrix

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

recensor_sim_rpsftm

Simulation Study to Evaluate Recensoring Rules in RPSFTM

Estimate of Restricted Mean Survival Time

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

print.logisregr

Print logisregr Object

Estimate of Restricted Mean Survival Time Difference

residuals_phregr

Residuals for Proportional Hazards Regression Models

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

trtswitch-package

Treatment Switching

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

splineDesigncpp

B-Spline Design Matrix

Survival Curve for Proportional Hazards Regression Models

Split a survival data set at specified cut points

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

Tobin's tobit data from the survival package

Urinary tract infection data from the logistf package

Simulate Data for Treatment Switching

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

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

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

Longitudinal time-dependent covariate data

Iterative Parameter Estimation (IPE) for Treatment Switching

B-Spline Basis for Polynomial Splines

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

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

Simulated CONCORDE trial data from the rpsftm package

Find Interval Numbers of Indices

Acute myelogenous leukemia survival data from the survival package

Stanford heart transplant data from the survival package

Baseline subject-level data