Direct modeling of regression effects for transition probabilities in the progressive illness-death model
| Autor: | Azarang, Leyla, Scheike, Thomas, De uña-Álvarez, Jacobo |
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| Přispěvatelé: | Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale (SESSTIM - U1252 INSERM - Aix Marseille Univ - UMR 259 IRD), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), IT University of Copenhagen (ITU), University of Vigo [ Pontevedra], Malbec, Odile, IT University of Copenhagen |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Male
Models Statistical [SDV]Life Sciences [q-bio] Age Factors Middle Aged Risk Assessment Survival Analysis illness-death model transition probabilities [SDV] Life Sciences [q-bio] Sex Factors Bias Disease Progression Humans Lupus Erythematosus Systemic Regression Analysis censored data Female Registries Mortality binomial regression Probability |
| Zdroj: | Statistics in Medicine Statistics in Medicine, Wiley-Blackwell, 2017, 36 (12), pp.1964-1976. ⟨10.1002/sim.7245⟩ |
| ISSN: | 0277-6715 1097-0258 |
| Popis: | In this work, we present direct regression analysis for the transition probabilities in the possibly non-Markov progressive illness-death model. The method is based on binomial regression, where the response is the indicator of the occupancy for the given state along time. Randomly weighted score equations that are able to remove the bias due to censoring are introduced. By solving these equations, one can estimate the possibly time-varying regression coefficients, which have an immediate interpretation as covariate effects on the transition probabilities. The performance of the proposed estimator is investigated through simulations. We apply the method to data from the Registry of Systematic Lupus Erythematosus RELESSER, a multicenter registry created by the Spanish Society of Rheumatology. Specifically, we investigate the effect of age at Lupus diagnosis, sex, and ethnicity on the probability of damage and death along time. Copyright © 2017 John WileySons, Ltd. |
| Databáze: | OpenAIRE |
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