| dataMultiv {frailtypack} | R Documentation |
Simulated data for two types of recurrent events and a terminal event
Description
This contains a simulated sample of of 800 subjects and 1652 observations.
This dataset can be used to illustrate how to fit a joint multivariate
frailty model. Two gaussian correlated random effects were generated with
mean 0, variances 0.5 and a correlation coefficient equals to 0.5. The
coefficients \alpha_1 and \alpha_2 were fixed to 1. The three
baseline hazard functions followed a Weibull distribution and right
censoring was fixed at 5.
Usage
data(dataMultiv)
Format
This data frame contains the following columns:
- PATIENT
identification of patient
- obs
number of observation for a patient
- TIME0
start of interval
- TIME1
end of interval (death or censoring time)
- INDICREC
recurrent of type 1 status (0:no, 1:yes)
- INDICMETA
recurrent of type 2 status (0:no, 1:yes)
- INDICDEATH
censoring status (0:alive, 1:death)
- v1
dichotomous covariate (0,1)
- v2
dichotomous covariate (0,1)
- v3
dichotomous covariate (0,1)
- TIMEGAP
time to event