Discrete-time semi-Markov modeling of human papillomavirus persistence.

Autor: Mitchell CE; Department of Biostatistics, The University of North Carolina, Chapel Hill, NC 27599, USA., Hudgens MG, King CC, Cu-Uvin S, Lo Y, Rompalo A, Sobel J, Smith JS
Jazyk: angličtina
Zdroj: Statistics in medicine [Stat Med] 2011 Jul 30; Vol. 30 (17), pp. 2160-70. Date of Electronic Publication: 2011 May 03.
DOI: 10.1002/sim.4257
Abstrakt: Multi-state modeling is often employed to describe the progression of a disease process. In epidemiological studies of certain diseases, the disease state is typically only observed at periodic clinical visits, producing incomplete longitudinal data. In this paper we consider fitting semi-Markov models to estimate the persistence of human papillomavirus (HPV) type-specific infection in studies where the status of HPV type(s) is assessed periodically. Simulation study results are presented indicating that the semi-Markov estimator is more accurate than an estimator currently used in the HPV literature. The methods are illustrated using data from the HIV Epidemiology Research Study.
(Copyright © 2011 John Wiley & Sons, Ltd.)
Databáze: MEDLINE
Externí odkaz: