SimHaz (version 0.1)

tdSim.method2: Simulate 1 dataframe (1 simulation) of time-dep exposure under method 2

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

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 spe

Value

• 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

Details

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

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)