dualrc: Simulated dual-right-censored data from an illness-death...

In aboruvka/coxinterval: Cox-Type Models for Interval-Censored Data

Description

Data from a Markov illness-death process with progression and death observed under dual right censoring, simulated according to the initial scenario described in Boruvka and Cook (2014).

Usage

data(dualrc)

Format

A data frame with 644 observations on the following 7 variables.

id

subject identifier.

from

originating state index with 0 denoting the initial state, 1 the intermediate state, 2 the terminal state and NA an unknown state.

to

subsequent state index.

start

left endpoint of the time interval at which the subject is known to be at risk for a transition between state from and state to.

stop

right endpoint of the at-risk interval.

status

indicator that a transition between state from and state to was observed at stop.

z

a binary covariate.

References

Boruvka, A. and Cook, R. J. (2016) Sieve estimation in a Markov illness-death process under dual censoring. Biostatistics 17, 350–363.

See Also

coxdual

Examples

data(dualrc)

aboruvka/coxinterval documentation built on May 10, 2019, 4:14 a.m.