Multi-state survival models for interval-censored data

by Hout, Ardo van den

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Title Statements

Full title :Multi-state survival models for interval-censored data / Ardo van den Hout.

Edition Statements

Publication Date:2017

Publication Statements

Publisher(s):CRC Press, Taylor & Francis Group
Place of Publication:Boca Raton
Language:eng
Publication Date:2017

The Physical Object

Description:1 online resource (xvii, 238 pages) : : illustrations (black and white).

Edition Identifiers

ISBN:1466568410, 9781466568419
oclc:ocn967071446
LC Classification:QH323.5
Dewey Decimal:570.1/5195

Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- Acknowledgments -- 1 Introduction -- 1.1 Multi-state survival models -- 1.2 Basic concepts -- 1.3 Example -- 1.3.1 Cardiac allograft vasculopathy (CAV)study -- 1.3.2 A four-state progressive model -- 1.4 Overview of methods and literature -- 1.5 Data used in this book -- 2 Modelling Survival Data -- 2.1 Features of survival data and basic terminology -- 2.2 Hazard, density, and survivor function -- 2.3 Parametric distributions for time to event -- 2.3.1 Exponential distribution -- 2.3.2 Weibull distribution -- 2.3.3 Gompertz distribution -- 2.3.4 Comparing exponential, Weibull and Gompertz -- 2.4 Regression models for the hazard -- 2.5 Piecewise-constant hazard -- 2.6 Maximum likelihood estimation -- 2.7 Example: survival in the CAV study -- 3 Progressive Three-State Survival Model -- 3.1 Features of multi-state data and basic terminology -- 3.2 Parametric models -- 3.2.1 Exponential model -- 3.2.2 Weibull model -- 3.2.3 Gompertz model -- 3.2.4 Hybrid models -- 3.3 Regression models for the hazards -- 3.4 Piecewise-Constant hazards -- 3.5 Maximum likelihood estimation -- 3.6 Simulation stud…

Subjects

Analyse démographique biometrics Biométrie Biometry Censored observations (Statistics) Demography -- Statistical methods Multi-State Information System Observations censurées (Statistique) Processus stochastiques Stochastic Processes