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Bayesian Design in Clinical Trials
| Bayesian Design in Clinical Trials |
| Autore | Berchialla Paola |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (190 p.) |
| Soggetto topico |
Humanities
Social interaction History Social and ethical issues |
| Soggetto non controllato |
adaptive designs
adaptive randomization Bayesian Bayesian designs bayesian inference Bayesian inference bayesian meta-analysis Bayesian monitoring Bayesian trial Bayesian trial design binary data bridging studies causal inference cisplatin clinical trial clinical trials clustering combination study distribution distance dose escalation dose-escalation dose-finding dose-response doubly robust estimation doxorubicin early phase dose finding frequentist validation futility rules highest posterior density intervals interaction interim analysis latent dirichlet allocation meta-analysis modelling assumption normal approximation oncology optimal dose combination oxaliplatin peritoneal carcinomatosis phase I PIPAC poor accrual posterior and predictive probabilities power-prior predictive analysis predictive power prior distribution prior elicitation priors propensity score randomized controlled trial rare disease sample size sample size determination stopping boundaries target allocation treatment combinations |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557608103321 |
Berchialla Paola
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Classical and Bayesian Statistical Approaches in Infectious Disease Data Analysis / / by Noor Muhammad Khan, Ileana Baldi, Maria Vittoria Chiaruttini, Dario Gregori
| Classical and Bayesian Statistical Approaches in Infectious Disease Data Analysis / / by Noor Muhammad Khan, Ileana Baldi, Maria Vittoria Chiaruttini, Dario Gregori |
| Autore | Khan Noor Muhammad |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (XX, 336 p. 86 illus., 71 illus. in color.) |
| Disciplina | 519.5 |
| Collana | Medicine Series |
| Soggetto topico |
Statistics
Epidemiology Public health Diseases Mathematical statistics Statistical Theory and Methods Public Health Bayesian Inference Mathematical Statistics |
| ISBN |
3-032-06747-2
9783032067470 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1 Bayesian and Frequentist Approaches in Infectious Disease Data Analysis -- Chapter 2 Generalized Linear Models in Infectious Disease Analysis and Surveillance: Methods for Independent Data -- Chapter 3 Variable Selection in Generalized Linear Models -- Chapter 4 Machine Learning Models for Probabilistic Inference and Prediction -- Chapter 5 Generalized Linear Models in Infectious Disease Analysis and Surveillance: Methods for Correlated Data -- Chapter 6 Residuals and Overdispersion in Generalized Linear Models -- Chapter 7 Interrupted Time Series Model in Infectious Disease Research and Surveillance -- Chapter 8 Generalized Linear Models with Missing Data. |
| Record Nr. | UNINA-9911046011003321 |
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Khan Noor Muhammad
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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