PHM.test

This function is used to obtain a global test to check the 
Markov condition for each transition based on Cox Proportional hazard models.

The inference in multi-state models is traditionally performed under
a Markov assumption that claims that past and future of the process
are independent given the present state. In this package, we
consider tests of the Markov assumption that are applicable to
general multi-state models. Three approaches using existing
methodology are considered: a simple method based on including
covariates depending on the history in Cox models for the transition
intensities; methods based on measuring the discrepancy of the
non-Markov estimators of the transition probabilities to the
Markov Aalen-Johansen estimators; and, finally, methods that were
developed by considering summaries from families of log-rank
statistics where patients are grouped by the state occupied of the
process at a particular time point (see Soutinho G, Meira-Machado L
(2021) <doi:10.1007/s00180-021-01139-7> and Titman AC, Putter H
(2020) <doi:10.1093/biostatistics/kxaa030>).

Gustavo Soutinho

markovMSM

Methods for Checking the Markov Condition in Multi-State
Survival Data

Luis Meira-Machado

PHM.test function

<dl><dt>data</dt>
<dd>A data frame in long format containing the subject <code>id</code>;
<code>from</code> corresponding to the starting state;the receiving state, 
<code>to</code>; the transition number, <code>trans</code>; the starting time of the 
transition given by <code>Tstart</code>; the stopping time of the transition, 
<code>Tstop</code>, and <code>status</code> for the status variable, with 1 indicating
an event (transition), 0 a censoring.</dd>
<dt>from</dt>
<dd>The starting state of the transition to check the Markov 
condition.</dd>
<dt>to</dt>
<dd>The last state of the considered transition to check the 
Markov condition.</dd></dl>

Arguments

Gustavo Soutinho and Luis Meira-Machado.

Author

Cox PH global test for checking the Markov condition on Multi-state 
Models. — PHM.test

<dl>

<dt>data</dt>
<dd>A data frame in long format containing the subject <code>id</code>;
<code>from</code> corresponding to the starting state;the receiving state, 
<code>to</code>; the transition number, <code>trans</code>; the starting time of the 
transition given by <code>Tstart</code>; the stopping time of the transition, 
<code>Tstop</code>, and <code>status</code> for the status variable, with 1 indicating
an event (transition), 0 a censoring.</dd>


<dt>from</dt>
<dd>The starting state of the transition to check the Markov 
condition.</dd>


<dt>to</dt>
<dd>The last state of the considered transition to check the 
Markov condition.</dd>

</dl>

PHM.test: Cox PH global test for checking the Markov condition on Multi-state Models.

Description

Usage

Value

Arguments

Author

References

Examples