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Bayesian monitoring of clinical trials with failure-time endpoints
Gary L. Rosner
Research output
:
Contribution to journal
›
Review article
›
peer-review
15
Scopus citations
Overview
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Dive into the research topics of 'Bayesian monitoring of clinical trials with failure-time endpoints'. Together they form a unique fingerprint.
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Mathematics
Failure Time
100%
Monitoring
90%
Posterior distribution
87%
Clinical Trials
84%
Curve
54%
Mixture of Dirichlet Processes
45%
Dirichlet Process Prior
41%
Survival Distribution
38%
Bayesian Nonparametrics
36%
Gibbs Sampling
35%
Therapy
33%
Hazard
33%
Censoring
30%
Evidence
24%
Evaluate
23%
Statistics
20%
Agriculture & Biology
endpoints
95%
clinical trials
94%
monitoring
56%
sampling
31%
statistics
27%
therapeutics
23%
methodology
15%
Engineering & Materials Science
Hazards
78%
Statistics
66%
Sampling
62%
Monitoring
49%
Medicine & Life Sciences
Clinical Trials
58%
Bayes Theorem
54%
Statistics
34%
Poisons
33%
Therapeutics
14%
Chemical Compounds
Sampling
73%
Toxic
67%
Mixture
38%