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Nonparametric regression of state occupation, entry, exit, and waiting times with multistate right-censored data.
Stat Med 2013; 32(17):3006-19SM

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.

Authors+Show Affiliations

Department of Bioinformatics and Biostatistics, University of Louisville, Louisville, KY, USA.No affiliation info available

Pub Type(s)

Journal Article
Research Support, U.S. Gov't, Non-P.H.S.

Language

eng

PubMed ID

23225570

Citation

Mostajabi, Farida, and Somnath Datta. "Nonparametric Regression of State Occupation, Entry, Exit, and Waiting Times With Multistate Right-censored Data." Statistics in Medicine, vol. 32, no. 17, 2013, pp. 3006-19.
Mostajabi F, Datta S. Nonparametric regression of state occupation, entry, exit, and waiting times with multistate right-censored data. Stat Med. 2013;32(17):3006-19.
Mostajabi, F., & Datta, S. (2013). Nonparametric regression of state occupation, entry, exit, and waiting times with multistate right-censored data. Statistics in Medicine, 32(17), pp. 3006-19. doi:10.1002/sim.5703.
Mostajabi F, Datta S. Nonparametric Regression of State Occupation, Entry, Exit, and Waiting Times With Multistate Right-censored Data. Stat Med. 2013 Jul 30;32(17):3006-19. PubMed PMID: 23225570.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Nonparametric regression of state occupation, entry, exit, and waiting times with multistate right-censored data. AU - Mostajabi,Farida, AU - Datta,Somnath, Y1 - 2012/12/06/ PY - 2011/08/29/received PY - 2012/11/15/accepted PY - 2012/12/11/entrez PY - 2012/12/12/pubmed PY - 2014/2/11/medline KW - bone marrow transplant KW - multistate models KW - nonparametric regression KW - right censoring KW - sojourn times KW - state occupation probabilities SP - 3006 EP - 19 JF - Statistics in medicine JO - Stat Med VL - 32 IS - 17 N2 - 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. SN - 1097-0258 UR - https://www.unboundmedicine.com/medline/citation/23225570/Nonparametric_regression_of_state_occupation_entry_exit_and_waiting_times_with_multistate_right_censored_data_ DB - PRIME DP - Unbound Medicine ER -