Work

p-Value Histograms: Inference and Diagnostics

Year: 2018

Type: article

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 normal and abnormal, 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 abnormal-looking p-value histograms are provided and based on case studies involving real biological experiments.

Source: Microarrays

DOI: 10.3390/ht7030023

Authors: Patrick Breheny, Arnold Stromberg, Joshua Lambert

Institutions: University of Iowa, University of Kentucky

Language: English

Topic: Gene expression and cancer classification

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $378

OpenAlex ID: W2889138197

FWCI: 1.093

Cites: 20

Cited by: 41

Related to: 10