Discrete-time semi-Markov modeling of human papillomavirus persistence

C. E. Mitchell, M. G. Hudgens, C. C. King, S. Cu-Uvin, Yungtai Lo, A. Rompalo, J. Sobel, J. S. Smith

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)2160-2170
Number of pages11
JournalStatistics in Medicine
Volume30
Issue number17
DOIs
StatePublished - Jul 30 2011

Fingerprint

Persistence
Discrete-time
Modeling
Semi-Markov Model
Estimator
Multi-state
Papillomavirus Infections
Incomplete Data
Epidemiology
Longitudinal Data
Progression
Infection
Disease Progression
Epidemiologic Studies
HIV
Simulation Study
Research
Estimate
Human

Keywords

  • Panel data
  • Stochastic process

ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability

Cite this

Mitchell, C. E., Hudgens, M. G., King, C. C., Cu-Uvin, S., Lo, Y., Rompalo, A., ... Smith, J. S. (2011). Discrete-time semi-Markov modeling of human papillomavirus persistence. Statistics in Medicine, 30(17), 2160-2170. https://doi.org/10.1002/sim.4257

Discrete-time semi-Markov modeling of human papillomavirus persistence. / Mitchell, C. E.; Hudgens, M. G.; King, C. C.; Cu-Uvin, S.; Lo, Yungtai; Rompalo, A.; Sobel, J.; Smith, J. S.

In: Statistics in Medicine, Vol. 30, No. 17, 30.07.2011, p. 2160-2170.

Research output: Contribution to journalArticle

Mitchell, CE, Hudgens, MG, King, CC, Cu-Uvin, S, Lo, Y, Rompalo, A, Sobel, J & Smith, JS 2011, 'Discrete-time semi-Markov modeling of human papillomavirus persistence', Statistics in Medicine, vol. 30, no. 17, pp. 2160-2170. https://doi.org/10.1002/sim.4257
Mitchell CE, Hudgens MG, King CC, Cu-Uvin S, Lo Y, Rompalo A et al. Discrete-time semi-Markov modeling of human papillomavirus persistence. Statistics in Medicine. 2011 Jul 30;30(17):2160-2170. https://doi.org/10.1002/sim.4257
Mitchell, C. E. ; Hudgens, M. G. ; King, C. C. ; Cu-Uvin, S. ; Lo, Yungtai ; Rompalo, A. ; Sobel, J. ; Smith, J. S. / Discrete-time semi-Markov modeling of human papillomavirus persistence. In: Statistics in Medicine. 2011 ; Vol. 30, No. 17. pp. 2160-2170.
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