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Elastic priors to dynamically borrow information from historical data in clinical trials
Liyun Jiang, Lei Nie,
Ying Yuan
Biostatistics
Research output
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Contribution to journal
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Article
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peer-review
16
Scopus citations
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Dive into the research topics of 'Elastic priors to dynamically borrow information from historical data in clinical trials'. Together they form a unique fingerprint.
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Mathematics
Historical Data
100%
Clinical Trials
69%
Type I error
54%
Congruent
26%
Monotonic Function
15%
Error Control
14%
Categorical or nominal
12%
Congruence
10%
Evidence
10%
Evaluate
9%
Simulation Study
8%
Concepts
6%
Medicine & Life Sciences
Behavior Control
89%
Psychological Power
68%
Clinical Trials
47%
Agriculture & Biology
clinical trials
77%
sampling
5%
methodology
3%
Chemistry
Error
54%
Reaction Yield
7%
Engineering & Materials Science
Set theory
11%