Description Usage Format References See Also Examples
Data from a Markov illness-death process with interval-censored progression times, simulated according to the initial scenario described in Boruvka and Cook (2014).
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A data frame with 723 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.
Boruvka, A. and Cook, R. J. (2016) Sieve estimation in a Markov illness-death process under dual censoring. Biostatistics 17, 350–363.
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