| Statistical analysis of surgical pathology data using the R program. | |
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MedLine Citation:
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PMID: 22498578 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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An understanding of statistics is essential for analysis of many types of data including data sets typically reported in surgical pathology research papers. Fortunately, a relatively small number of statistical tests apply to data relevant to surgical pathologists. An understanding of when to apply these tests would greatly benefit surgical pathologists who read and/or write papers. In this review, we show how the publicly available statistical program R can be used to analyze recently published surgical pathology papers to replicate the p-values and survival curves presented in these papers. Areas covered include: T-test, chi-square and Fisher exact tests of proportionality, Kaplan-Meier survival curves, the log rank test, and Cox proportional hazards. |
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Authors:
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Justin Cuff; John P T Higgins |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Advances in anatomic pathology Volume: 19 ISSN: 1533-4031 ISO Abbreviation: Adv Anat Pathol Publication Date: 2012 May |
Date Detail:
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Created Date: 2012-04-13 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9435676 Medline TA: Adv Anat Pathol Country: United States |
Other Details:
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Languages: eng Pagination: 131-9 Citation Subset: IM |
Affiliation:
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Department of Pathology, Stanford University School of Medicine, Stanford, CA. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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