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 Medjournal_title
Statistics in medicineauthors
Mostajabi F,Datta Sdoi
10.1002/sim.5703subject
Has Abstractpub_date
2013-07-30 00:00:00pages
3006-19issue
17eissn
0277-6715issn
1097-0258journal_volume
32pub_type
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