Modeling discrete time-to-event data / Gerhard Tutz, Matthias Schmid

• Autore: Tutz, Gerhard
• Pubblicazione: [Cham], : Springer, 2016
• Titolo uniforme: Modeling discrete time-to-event data
• Descrizione fisica: X, 247 p. : ill. ; 24 cm
• Soggetto topico: 62-XX - Statistics [MSC 2020]; 62G05 - Nonparametric estimation [MSC 2020]; 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020]; 62N02 - Estimation in survival analysis and censored data [MSC 2020]; 62N03 - Testing in survival analysis and censored data [MSC 2020]; 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020]; 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
• Soggetto non controllato: Additive models; Competing risks; Continuation ratio model; DiscSurv; Discrete frailty model; Discrete hazard function; Discrete hazard model; Generalized estimation equations; Goodness-of-Fit; Gradient boosting; Interval censoring; Life tables; Multiple spells; Penalized regression; Recursive partitioning; Sequential methods in item response theory; Smooth effects; Survival data; Survival functions; Time-dependent AUC; Time-to-Event Data
• Altri autori: Schmid, Matthias
• Titolo autorizzato: Modeling discrete time-to-event data
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN00114987
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: http://dx.doi.org/10.1007/978-3-319-28158-2
• Serie: Springer series in statistics Berlin [etc.] . -Springer