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Modeling discrete time-to-event data / Gerhard Tutz, Matthias Schmid
Modeling discrete time-to-event data / Gerhard Tutz, Matthias Schmid
Autore Tutz, Gerhard
Pubbl/distr/stampa [Cham], : Springer, 2016
Descrizione fisica X, 247 p. : ill. ; 24 cm
Altri autori (Persone) Schmid, Matthias
Soggetto topico 62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020]
62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020]
62N02 - Estimation in survival analysis and censored data [MSC 2020]
62N03 - Testing in survival analysis and censored data [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
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0114987
Tutz, Gerhard  
[Cham], : Springer, 2016
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Modeling discrete time-to-event data / Gerhard Tutz, Matthias Schmid
Modeling discrete time-to-event data / Gerhard Tutz, Matthias Schmid
Autore Tutz, Gerhard
Pubbl/distr/stampa [Cham], : Springer, 2016
Descrizione fisica X, 247 p. : ill. ; 24 cm
Altri autori (Persone) Schmid, Matthias
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
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00114987
Tutz, Gerhard  
[Cham], : Springer, 2016
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui