lambdacensor_betapw: Find the Censor Hazard Function Parameter for Nonproportional...
In TwoArmSurvSim: Simulate Survival Data for Randomized Clinical Trials

calculate censor hazard function parameter for a given dropout rate. (for piecewise hazard ratios)

1 2	LambdaCensor_betapw(lambda=lambda,gamma=gamma,theta=theta,ebx=1, gammac=1,groupfreq=1,censordist='exponential',timeinterval=NULL)

`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

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

TwoArmSurvSim documentation built on Feb. 26, 2021, 9:06 a.m.