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Multiplicity-calibrated Bayesian hypothesis tests
Mengye Guo,
Daniel F. Heitjan
Clinical Sciences
Clinical Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
15
Scopus citations
Overview
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Dive into the research topics of 'Multiplicity-calibrated Bayesian hypothesis tests'. Together they form a unique fingerprint.
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Mathematics
Hypothesis Test
100%
Prior Information
98%
Familywise Error Rate
80%
Multiplicity
69%
Error Rate
66%
False
58%
Bonferroni Inequality
45%
Multiple Hypothesis Testing
42%
Rate Control
41%
Error Control
35%
Standards
32%
Cancer
30%
Hypothesis Testing
29%
Adjustment
29%
Likely
28%
Null hypothesis
27%
Critical value
26%
Testing
20%
Simulation
18%
Demonstrate
17%
Business & Economics
Multiplicity
98%
Prior Information
80%
Hypothesis Test
79%
Testing
36%
Cancer
25%
Critical Value
24%
Hypothesis Testing
22%
Simulation
14%
Medicine & Life Sciences
Psychological Power
83%
Bayes Theorem
53%
Pharmacogenetics
50%
Social Adjustment
41%
Neoplasms
14%