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Dynamic prediction in clinical survival analysis / / Hans van Houwelingen, Hein Putter



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Autore: Houwelingen J. C. van. Visualizza persona
Titolo: Dynamic prediction in clinical survival analysis / / Hans van Houwelingen, Hein Putter Visualizza cluster
Pubblicazione: Boca Raton : , : CRC Press, , 2012
Descrizione fisica: 1 online resource (250 p.)
Disciplina: 615.580724
Soggetto topico: Proportional hazards models
Survival analysis (Biometry)
Soggetto genere / forma: Electronic books.
Altri autori: PutterHein  
Note generali: "A Chapman & Hall book."
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: The special nature of survival data -- Cox regression model -- Measuring the predictive value of a Cox model -- Calibration and revision of Cox models -- Mechanisms explaining violation of the Cox model -- Non-proportional hazards models -- Dealing with non-proportional hazards -- Dynamic predictions using biomarkers -- Dynamic prediction in multi-state models -- Dynamic prediction in chronic disease -- Penalized Cox models -- Dynamic prediction based on genomic data.
Sommario/riassunto: In the last twenty years, dynamic prediction models have been extensively used to monitor patient prognosis in survival analysis. Written by one of the pioneers in the area, this book synthesizes these developments in a unified framework. It covers a range of models, including prognostic and dynamic prediction of survival using genomic data and time-dependent information. The text includes numerous examples using real data that is taken from the authors collaborative research. R programs are provided for implementing the methods--Provided by publisher.
Titolo autorizzato: Dynamic prediction in clinical survival analysis  Visualizza cluster
ISBN: 0-429-09433-7
1-280-12190-4
9786613525765
1-4398-3543-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910457525703321
Lo trovi qui: Univ. Federico II
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Serie: Monographs on statistics and applied probability ; ; 123.