Statistical Modelling of Survival Data with Random Effects : H-Likelihood Approach / Il Do Ha, Jong-Hyeon Jeong, Youngjo Lee

• Autore: Ha, Il Do
• Pubblicazione: Singapore, : Springer, 2017
• Titolo uniforme: Statistical Modelling of Survival Data with Random Effects
• Descrizione fisica: xiv, 283 p. : ill. ; 24 cm
• Soggetto topico: 62-XX - Statistics [MSC 2020]; 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]; 92B15 - General Biostatistics [MSC 2020]; 62Nxx - Survival analysis and censored data [MSC 2020]
• Soggetto non controllato: Accelerated Failure Time Models; Basic Likelihood Inference; Classical Survival Analysis in Statistics; Comparison of H-and Marginal likelihoods; Correlated Frailties; Correlated Survival Data; Cox-PH Models; Dispersion Frailty Models; Extension of Inferential Procedures; Frailty Models for Interval-Censored Data; Frailty modelling for Missing Cause of Failure; Genetic Mixed Models under LTRC; Hazard and Survival Function; Joint Survival Models; Mixed linear Models with Censoring; Mixed-Effect Survival Models; Multi-Component Frailty Models; Multilevel (Nested) Frailties; Multilevel Mixed Models with Censoring; Non-PH Frailty Models
• Altri autori: Jeong, Jong-Hyeon Lee, Youngjo
• Titolo autorizzato: Statistical Modelling of Survival Data with Random Effects
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN0124310
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: http://doi.org/10.1007/978-981-10-6557-6
• Serie: Statistics for biology and health Berlin [etc.] . -Springer