Description Usage Format References See Also Examples
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).
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A data frame with 644 observations on the following 7 variables.
idsubject identifier.
fromoriginating state index with 0 denoting the initial state,
1 the intermediate state, 2 the terminal state and
NA an unknown state.
tosubsequent state index.
startleft endpoint of the time interval at which the subject is known
to be at risk for a transition between state from and state
to.
stopright endpoint of the at-risk interval.
statusindicator that a transition between state from and state
to was observed at stop.
za binary covariate.
Boruvka, A. and Cook, R. J. (2014) Sieve estimation in a Markov illness-death process under dual censoring.
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