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Applied survival analysis using R / Dirk F. Moore
| Applied survival analysis using R / Dirk F. Moore |
| Autore | Moore, Dirk F. |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XIV, 226 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 62Nxx - Survival analysis and censored data [MSC 2020] |
| Soggetto non controllato |
Censoring
Competing risks analysis Confidence Intervals Log-rank test Nelson-Aalen nonparametric estimator Partial likelihood Prentice-modification of Gehan test Product-limit Kaplan-Meier estimator Proportional hazards Survival curves Survival data Truncation |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114447 |
Moore, Dirk F.
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| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Contemporary Experimental Design, Multivariate Analysis and Data Mining : Festschrift in Honour of Professor Kai-Tai Fang / Jianqing Fan, Jianxin Pan editors
| Contemporary Experimental Design, Multivariate Analysis and Data Mining : Festschrift in Honour of Professor Kai-Tai Fang / Jianqing Fan, Jianxin Pan editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xvii, 386 p. : ill. ; 24 cm |
| Soggetto topico |
62H12 - Estimation in multivariate analysis [MSC 2020]
00B30 - Festschriften [MSC 2020] 62-XX - Statistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] |
| Soggetto non controllato |
Big Data
Composite design Covariance matrix Data Mining Experimental design Functional data High-Dimensional Data Longitudinal data Machine learning Multivariate Data Network data Quantile regression Robust Design Survival data Variable Selection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248857 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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 |
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Tutz, Gerhard
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| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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