LambdaCensor_betapw {TwoArmSurvSim} | R Documentation |
Find the Censor Hazard Function Parameter for Nonproportional Hazard Model Given a Fixed Dropout Rate
Description
calculate censor hazard function parameter for a given dropout rate. (for piecewise hazard ratios)
Usage
LambdaCensor_betapw(lambda=lambda,gamma=gamma,theta=theta,ebx=1,
gammac=1,groupfreq=1,censordist='exponential',timeinterval=NULL)
Arguments
lambda |
lambda for event hazard function |
gamma |
gamma for event hazard function |
gammac |
gamma for censor hazard function. This is required if the censoring hazard function is weibull |
theta |
Dropout rate |
ebx |
exp(beta*x), if there's no covariates, ebx=1. |
groupfreq |
frequence of each level of ebx value |
censordist |
censor hazard function distribution |
timeinterval |
time intervals for piecewise baseline hazard function |
References
Wan F. (2017) Simulating survival data with predefined censoring rates for proportional hazards models. Statist. Med. 2017; 36(5): 838-854
Martinez EZ, Achcar JA, de Oliveira Peres MV, de Queiroz JAM (2016) A brief note on the simulation of survival data with a desired percentage of right-censored data. Journal of Data Science . 2016, Vol. 14 Issue 4, p701-712. 12p