pssm.simulate: Simulates pssm analysis

In pssm: Piecewise Exponential Model for Time to Progression and Time from Progression to Death

Description

Simulates survival and progression model

Usage

pssm.simulate(nruns, theta1 = 0.2, theta2 = 0.2, 
phaz.progression = log(-log(0.3)/4) * rep(1, 5), 
phaz.survival = log(-log(0.15)/4) * rep(1, 15), accrual = 3, followup = 2, 
m = 5, n = 500, rescale = 1,etime=4.5,seed=NULL)

Arguments

nruns	number of simulations
theta1	Coefficient for treatment covariate for time to progression
theta2	Coefficient for treatment covariate for survival after progression
phaz.progression	log-hazard vector for progression
phaz.survival	log-hazard vector for survival
accrual	accrual time
followup	follow up time
m	number of intervals, maximum of times
n	number of samples
rescale	Factor to multiply times by
etime	The time that survival is evaluated
seed	Seed for the random number generator if you don't want the data that is analyzed to change.

Value

A three entry list

objects	A nruns by 5 list of "pssm" objects which result from five estimates: 1-Both survival and progression, 2-progression only, 3-tumor free progression, 4-survival on treatment 0, 5-survival on treatment 1. Note that the tumor-free progression rates are estimated assuming that progression occurs at the first time it is detected.
ests	estimates for treatment effects followed by death rate and progression rate
se.ests	standard errors for the treatment effects

Author(s)

David A. Schoenfeld

See Also

pssm-class, pssm-package, pssm.generate.data, pssm.object, pssm, pssm.survivalcurv, plot-methods, pssm.power

Examples

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.
#creates 1 simulations with 50 observations
pss=pssm.simulate(nruns=1,theta1=.2,theta2=.2,phaz.progression=log(-log(.3)/4)*rep(1,3),
  phaz.survival=log(-log(.15)/4)*rep(1,6),accrual=1,followup=2,,m=3,n=50,rescale=1)
#Summary of run 1
summary(pss$objects[[1]][[1]])

pssm documentation built on May 2, 2019, 11:12 a.m.