mstatecox: A package for simulating transition probabilities from semiparametric multistate survival models
Abstract. Multistate duration models are a valuable tool used in multiple fields to
examine how subjects move through a series of discrete phases and stages. The
models themselves may be fit using common statistical software, but their
broader adoption has been limited because of a lack of software to
substantively interpret their results. Transition probabilities are the common
postestimation quantity for interpreting multistate duration model results. De
Wreede, Fiocco, and Putter's (2011, Journal of Statistical Software
38(7): 1–30) mstate package provides R with the functionality to
estimate these quantities from semiparametric multistate models, yet no Stata
equivalent exists for semiparametric models. We introduce a new set of Stata
commands to meet this need. Our mstatecox suite calculates transition
probabilities from semiparametric multistate duration models with simulation.
It can accommodate any configuration of stages and also has the ability to
accommodate time-interacted covariates. We demonstrate our package's
functionality using de Wreede, Fiocco, and Putter's European Registry of Blood
and Marrow Transplantation example dataset.
View all articles by these authors:
Shawna K. Metzger, Benjamin T. Jones
View all articles with these keywords:
mstatecox, mstcovar, mstphtest, msttvc, mstdraw, mstsample, mstutil, multistate, transition probabilities, multistate duration, semiparametric multistate survival models
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