Package index • trtswitch

All functions

adsl: Baseline subject-level data
adtdc: Longitudinal time-dependent covariate data
aml: Acute myelogenous leukemia survival data from the survival package
assess_phregr(): Assess Proportional Hazards Assumption Based on Supremum Test
heart: Stanford heart transplant data from the survival package
immdef: Simulated CONCORDE trial data from the rpsftm package
ingots: The binary data from Cox and Snell (1989, pp. 10-11).
ipcw(): Inverse Probability of Censoring Weights (IPCW) for Treatment Switching
ipe(): Iterative Parameter Estimation (IPE) for Treatment Switching
kmdiff(): Estimate of Milestone Survival Difference
kmest(): Kaplan-Meier Estimates of Survival Curve
liferegr(): Parametric Regression Models for Failure Time Data
liver: The liver data used in SAS PROC PHREG documentation examples.
logisregr(): Logistic Regression Models for Binary Data
lrtest(): Log-Rank Test of Survival Curve Difference
msm(): Marginal Structural Model (MSM) for Treatment Switching
phregr(): Proportional Hazards Regression Models
preptdc(): Prepare Survival Data With Time-Dependent Covariates
rawdata: A simulated time-to-event data set with 10 replications
recensor_sim_rpsftm(): Simulation Study to Evaluate Recensoring Rules in RPSFTM
residuals_liferegr(): Residuals for Parametric Regression Models for Failure Time Data
residuals_phregr(): Residuals for Proportional Hazards Regression Models
rmdiff(): Estimate of Restricted Mean Survival Time Difference
rmest(): Estimate of Restricted Mean Survival Time
rpsftm(): Rank Preserving Structural Failure Time Model (RPSFTM) for Treatment Switching
sexagg: Urinary tract infection data from the logistf package
shilong: The randomized clinical trial SHIVA data in long format from the ipcwswitch package
six: The repeated measures data from the "Six Cities" study of the health effects of air pollution (Ware et al. 1984).
survQuantile(): Brookmeyer-Crowley Confidence Interval for Quantiles of Right-Censored Time-to-Event Data
survfit_phregr(): Survival Curve for Proportional Hazards Regression Models
tobin: Tobin's tobit data from the survival package
trtswitch-package: Treatment Switching
tsegest(): Two-Stage Estimation with g-Estimation (TSEgest) for Treatment Switching
tsegestsim(): Simulate Survival Data for Two-Stage Estimation with g-estimation
tsesimp(): Simple Two-Stage Estimation (TSEsimp) for Treatment Switching
tssim(): Simulate Data for Treatment Switching
zph_phregr(): Assess Proportional Hazards Assumption Based on Scaled Schoenfeld Residuals