02923oam 2200673I 450 991045920580332120200520144314.00-429-13960-81-4200-7391-510.1201/9781420073911 (CKB)2670000000044677(EBL)581728(OCoLC)680036278(SSID)ssj0000418046(PQKBManifestationID)11270224(PQKBTitleCode)TC0000418046(PQKBWorkID)10369954(PQKB)10816307(MiAaPQ)EBC581728(Au-PeEL)EBL581728(CaPaEBR)ebr10412008(CaONFJC)MIL692653(OCoLC)680622755(EXLCZ)99267000000004467720180331d2011 uy 0engur|n|---|||||txtccrFrailty models in survival analysis /Andreas WienkeBoca Raton :Taylor & Francis,2011.1 online resource (322 p.)Chapman & Hall/CRC biostatistics seriesA CRC title.1-322-61371-0 1-4200-7388-5 Includes bibliographical references and index.Front cover; Contents; List of Tables; List of Figures; Preface; Chapter 1: Introduction; Chapter 2: Survival Analysis; Chapter 3: Univariate Frailty Models; Chapter 4: Shared Frailty Models; Chapter 5: Correlated Frailty Models; Chapter 6: Copula Models; Appendix A; References; Back coverThe concept of frailty offers a convenient way to introduce unobserved heterogeneity and associations into models for survival data. In its simplest form, frailty is an unobserved random proportionality factor that modifies the hazard function of an individual or a group of related individuals. ""Frailty Models in Survival Analysis"" presents a comprehensive overview of the fundamental approaches in the area of frailty models. The book extensively explores how univariate frailty models can represent unobserved heterogeneity. It also emphasizes correlated frailty models as extensions of univariChapman & Hall/CRC biostatistics series.Failure time data analysisMathematicsSurvival analysis (Biometry)MathematicsMortalityMathematical modelsDemographyMathematicsElectronic books.Failure time data analysisMathematics.Survival analysis (Biometry)Mathematics.MortalityMathematical models.DemographyMathematics.519.5/46Wienke Andreas.988433MiAaPQMiAaPQMiAaPQBOOK9910459205803321Frailty models in survival analysis2260246UNINA