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trtswitch (version 0.2.4)

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 estimation with g-estimation (TSEgest) methods for treatment switching in randomized clinical trials.

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Install

install.packages('trtswitch')

Monthly Downloads

395

Version

0.2.4

License

GPL (>= 2)

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Repository

https://github.com/kaifenglu/trtswitch

Maintainer

Kaifeng Lu

Last Published

February 12th, 2026

Functions in trtswitch (0.2.4)

plot.assess_phregr

Plot method for assess_phregr objects

Logistic Regression Models for Binary Data

Kaplan-Meier Estimates of Survival Curve

Marginal Structural Model (MSM) for Treatment Switching

Log-Rank Test of Survival Curve Difference

Parametric Regression Models for Failure Time Data

Proportional Hazards Regression Models

Append columns from B to A by keyed join (fast, data.table-based)

Plot method for ipcw objects

The liver data used in SAS PROC PHREG documentation examples.

Plot method for rpsftm objects

Print method for ipe objects

Plot method for tsegest objects

Plot method for msm objects

Plot method for ipe objects

Prepare Survival Data With Time-Dependent Covariates

recensor_sim_rpsftm

Simulation Study to Evaluate Recensoring Rules in RPSFTM

Plot method for tsesimp objects

Print liferegr Object

print.logisregr

Print logisregr Object

Print method for tsegest objects

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

helper: process a base covariate specification and ensure design columns exist in df

Print method for msm objects

Print method for tsesimp objects

Estimate of Restricted Mean Survival Time Difference

residuals_phregr

Residuals for Proportional Hazards Regression Models

Survival Curve for Proportional Hazards Regression Models

Split a survival data set at specified cut points

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

Estimate of Restricted Mean Survival Time

residuals_liferegr

Residuals for Parametric Regression Models for Failure Time Data

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

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

Urinary tract infection data from the logistf package

Print phregr Object

Print method for rpsftm objects

Print method for ipcw objects

print.assess_phregr

Print method for assess_phregr objects

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

Two-Stage Estimation with g-Estimation (TSEgest) for Treatment Switching

Simple Two-Stage Estimation (TSEsimp) for Treatment Switching

Simulate Data for Treatment Switching

Simulate Survival Data for Two-Stage Estimation with g-estimation

Assess Proportional Hazards Assumption Based on Scaled Schoenfeld Residuals

trtswitch-package

Treatment Switching

Tobin's tobit data from the survival package

Assess Proportional Hazards Assumption Based on Supremum Test

Longitudinal time-dependent covariate data

Inverse Probability of Censoring Weights (IPCW) for Treatment Switching

Iterative Parameter Estimation (IPE) for Treatment Switching

Estimate of Milestone Survival Difference

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

Simulated CONCORDE trial data from the rpsftm package

Acute myelogenous leukemia survival data from the survival package

Baseline subject-level data

Stanford heart transplant data from the survival package