Aspects of analysis of multivariate failure time data.

Título inglés	Aspects of analysis of multivariate failure time data.
Título español	Aspectos del análisis de datos multivariantes de tiempo de fallo.
Autor/es	Prentice, Ross L. ; Kalbfleisch, John D.
Organización	Div. Publ. Health Sci. Fred Hutchinson Cancer Res. Cent., Seattle (Washington), Estados Unidos;Univ. Michigan, Ann Arbor (Michigan), Estados Unidos
Revista	1696-2281
Publicación	2003, 27 (1): 65-78, 35 Ref.
Tipo de documento	articulo
Idioma	Inglés
Resumen inglés	Multivariate failure time data arise in various forms including recurrent event data when individuals are followed to observe the sequence of occurrences of a certain type of event; correlated failure time when an individual is followed for the occurrence of two or more types of events for which the individual is simultaneously at risk, or when distinct individuals have depending event times; or more complicated multistate processes where individuals may move among a number of discrete states over the course of a follow-up study and the states and associated sojourn times are recorded. Here we provide a critical review of statistical models and data analysis methods for the analysis of recurrent event data and correlated failure time data. This review suggests a valuable role for partially marginalized intensity models for the analysis of recurrent event data, and points to the usefulness of marginal hazard rate models and nonparametric estimates of pairwise dependencies for the analysis of correlated failure times. Areas in need of further methodology development are indicated.
Clasificación UNESCO	120900
Palabras clave español	Bioestadística ; Análisis de supervivencia ; Estimación ; Análisis multivariante ; Análisis de datos censurados
Código MathReviews	MR1996216
Código Z-Math	Zbl 1046.62108
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