Bayesian sequential learning for clinical trials of multiple correlated medical interventions
Year of publication: |
2022
|
---|---|
Authors: | Chick, Stephen E. ; Gans, Noah ; Yapar, Özge |
Published in: |
Management science : journal of the Institute for Operations Research and the Management Sciences. - Hanover, Md. : INFORMS, ISSN 1526-5501, ZDB-ID 2023019-9. - Vol. 68.2022, 7, p. 4919-4938
|
Subject: | Bayesian | clinical trials | dynamic programming | health economics | ranking and selection | sequential experimentation | simulation optimization | Bayes-Statistik | Bayesian inference | Theorie | Theory | Arzneimittel | Pharmaceuticals | Gesundheitsökonomik | Health economics | Simulation | Krankenhaus | Hospital | Experiment | Lernprozess | Learning process | Dynamische Optimierung | Dynamic programming |
-
Bayesian sequential learning for clinical trials of multiple orrelated medical interventions
Chick, Stephen E., (2018)
-
Bayesian sequential learning for clinical trials of multiple correlated medical interventions
Chick, Stephen E., (2020)
-
Alban, Andres, (2021)
- More ...
-
Bayesian Sequential Learning for Clinical Trials of Multiple Correlated Medical Interventions
Chick, Stephen E., (2020)
-
Conditional Approval and Value-Based Pricing for New Health Technologies
Yapar, Ozge, (2022)
-
Optimal hiring and retention policies for heterogeneous workers who learn
Arlotto, Alessandro, (2014)
- More ...