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p-Value Histograms: Inference and Diagnostics
- Source :
- High-Throughput, High-Throughput, Vol 7, Iss 3, p 23 (2018), Volume 7, Issue 3
- Publication Year :
- 2018
- Publisher :
- MDPI, 2018.
-
Abstract
- It is increasingly common for experiments in biology and medicine to involve large numbers of hypothesis tests. A natural graphical method for visualizing these tests is to construct a histogram from the p-values of these tests. In this article, we examine the shapes, both regular and irregular, that these histograms can take on, as well as present simple inferential procedures that help to interpret the shapes in terms of diagnosing potential problems with the experiment. We examine potential causes of these problems in detail, and discuss potential remedies. Throughout, examples of irregular-looking p-value histograms are provided and based on case studies involving real biological experiments.
- Subjects :
- 0206 medical engineering
Biomedical Engineering
Inference
Bioengineering
02 engineering and technology
01 natural sciences
Biochemistry
p-value
Article
lcsh:Chemistry
010104 statistics & probability
Simple (abstract algebra)
Histogram
diagnostics
0101 mathematics
lcsh:Science
lcsh:QH301-705.5
Statistical hypothesis testing
inference
business.industry
Pattern recognition
lcsh:Biology (General)
lcsh:QD1-999
lcsh:Q
Artificial intelligence
Construct (philosophy)
business
020602 bioinformatics
Biotechnology
histograms
Subjects
Details
- Language :
- English
- ISSN :
- 25715135
- Volume :
- 7
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- High-Throughput
- Accession number :
- edsair.doi.dedup.....04ea97ec8c132622da7547a8ff042add