tdSim.method2: Simulate 1 dataframe (1 simulation) of time-dep exposure...

In SimHaz: Simulated Survival and Hazard Analysis for Time-Dependent Exposure

Description

This function simulate Survival Data. It generates a simulated dataset with time-dependent exposure under method 2 with a user-specified list of parameters as input.

Usage

tdSim.method2(N,duration, lambda12, lambda23=NULL, lambda13, 
    HR=NULL, exp.prop,rateC, min.futime = 0, min.postexp.futime = 0)

Arguments

N	Number of subjects
duration	Duration of the study. This is used in censoring
lambda12	Lambda12 parameter to control time to exposure
lambda23	Lambda23 parameter to control time to event after exposure
lambda13	Lambda13 parameter to control time to event in the control group
HR	Hazard Ratio. This input is optional. If HR is set and lambda23 is not set, lambda23 = lambda13*HR
exp.prop	A numeric value between 0 and 1 (not include 0 and 1) that represents the proportion of subjects that are assigned with an exposure
rateC	Rate of the exponential distribution to generate censoring times
min.futime	A numeric value that represents minimum follow-up time (in months). The default value is 0, which means no minimum follow-up time is considered. If it has a positive value, this argument will help exclude subjects that only spend a short amount of time in the study
min.postexp.futime	A numeric value that represents minimum post-exposure follow-up time (in months). The default value is 0, which means no minimum post-exposure follow-up time is considered. If it has a positive value, this argument will help exclude subjects that only spend a short amount of time in the study after their exposure

Details

Simulata a Survival dataset using a modified version of illness-death model controlled by lambda12, lambda23, lambda13

Value

A data.frame object with columns corresponding to

id	Integer that represents a subject's identification number
start	For counting process formulation. Represents the start of each time interval
stop	For counting process formulation. Represents the end of each time interval
status	Indicator of event. status = 1 when event occurs and 0 otherwise
x	Indicator of exposure. x = 1 when exposed and 0 otherwise

Author(s)

Danyi Xiong, Teeranan Pokaprakarn, Hiroto Udagawa, Nusrat Rabbee
Maintainer: Nusrat Rabbee <[e-mail]>

Examples

sim_data <- tdSim.method2(500, duration=24,lambda12=1.3,lambda23=0.04, 
    lambda13=0.03, exp.prop=0.2,rateC=0.05, min.futime=4, min.postexp.futime=4)

SimHaz documentation built on May 2, 2019, 6:46 a.m.