Bayesian predictive probabilities: a good way to monitor clinical trials-Reference-Cited by-同舟云学术

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Bayesian predictive probabilities: a good way to monitor clinical trials

Published:2021-02 Issue:2 Volume:126 Page:550-555
ISSN:0007-0912
Container-title:British Journal of Anaesthesia
language:en
Short-container-title:British Journal of Anaesthesia

Author:

Ferreira David,Ludes Pierre-Olivier,Diemunsch Pierre,Noll Eric,Torp Klaus D.,Meyer Nicolas

Publisher

Elsevier BV

Subject

Anesthesiology and Pain Medicine

Reference16 articles.

1. An Institutional Review Board dilemma: responsible for safety monitoring but not in control;DeMets;Clin Trial.,2006

2. Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations;Greenland;Eur J Epidemiol,2016

3. Some difficulties of interpretation encountered in the application of the chi-square test;Berkson;J Am Stat Assoc,1938

4. Statistical decision theory and bayesian analysis;Berger,2013

5. Interim analysis in clinical trials: the role of the likelihood principle;Berry;Am Stat,1987

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1. The Bayesian Group-Sequential Predictive Evidence Value Design for Phase II Clinical Trials with Binary Endpoints;Statistics in Biosciences;2024-04-29

2. Safety and efficacy of hydroxychloroquine as prophylactic against COVID-19 in healthcare workers: a meta-analysis of randomised clinical trials;BMJ Open;2023-06

3. External evaluation of population pharmacokinetic models for voriconazole in Chinese adult patients with hematological malignancy;European Journal of Clinical Pharmacology;2022-06-28

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