Nonparametric regression of state occupation, entry, exit, and waiting times with multistate right-censored data.

Abstract:

:We construct nonparametric regression estimators of a number of temporal functions in a multistate system based on a continuous univariate baseline covariate. These estimators include state occupation probabilities, state entry, exit, and waiting (sojourn) time distribution functions of a general progressive (e.g., acyclic) multistate model. We subject the data to right censoring, and the censoring mechanism is explainable by observable covariates that could be time dependent. The resulting estimators are valid even if the multistate process is non-Markov. We study the performance of the estimators in two simulation settings. We establish large sample consistency of these estimators. We illustrate our estimators using a data set on bone marrow transplant recipients.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Mostajabi F,Datta S

doi

10.1002/sim.5703

subject

Has Abstract

pub_date

2013-07-30 00:00:00

pages

3006-19

issue

17

eissn

0277-6715

issn

1097-0258

journal_volume

32

pub_type

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