Discrete-time semi-Markov modeling of human papillomavirus persistence
| Autor: | Michael G. Hudgens, Caroline C. King, C. E. Mitchell, Jack D. Sobel, Ann Rompalo, Yungtai Lo, Jennifer S. Smith, Susan Cu-Uvin |
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| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: |
Statistics and Probability
medicine.medical_specialty Epidemiology Markov process Disease Markov model Article symbols.namesake Statistics medicine Econometrics Humans Computer Simulation Longitudinal Studies Papillomaviridae Markov chain biology business.industry Papillomavirus Infections Models Immunological Estimator virus diseases biology.organism_classification Markov Chains Discrete time and continuous time symbols Female business |
| DOI: | 10.17615/bm6f-sr76 |
| Popis: | 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 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 (HERS). |
| Databáze: | OpenAIRE |
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