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Interval-Censored Time-to-Event Data: Methods and Applications

Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent techniques, models, and computational tools for interval-censored time-to-event data. Top biostatisticians from academia, biopharmaceutical industries, and government agencies discuss how these advances are impac...

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Detalles Bibliográficos
Autor principal: Chen, Ding-Geng
Lenguaje:eng
Publicado: CRC Press 2012
Materias:
Acceso en línea:http://cds.cern.ch/record/1487888
Descripción
Sumario:Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent techniques, models, and computational tools for interval-censored time-to-event data. Top biostatisticians from academia, biopharmaceutical industries, and government agencies discuss how these advances are impacting clinical trials and biomedical research. Divided into three parts, the book begins with an overview of interval-censored data modeling, including nonparametric estimation, survival functions, regression analysis, multivariate data analysis, competing risks analysis, and other models for interva