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Common Statistical Pitfalls in Basic Science Research

dc.contributor.authorSullivan, Lisa M.
dc.contributor.authorWeinberg, Janice
dc.contributor.authorKeaney, John F. Jr.
dc.date2022-08-11T08:09:46.000
dc.date.accessioned2022-08-23T16:42:41Z
dc.date.available2022-08-23T16:42:41Z
dc.date.issued2016-09-29
dc.date.submitted2017-01-09
dc.identifier.citationJ Am Heart Assoc. 2016 Sep 29;5(10). pii: e004142. <a href="http://dx.doi.org/10.1161/JAHA.116.004142">Link to article on publisher's site</a>
dc.identifier.issn2047-9980 (Linking)
dc.identifier.doi10.1161/JAHA.116.004142
dc.identifier.pmid27688237
dc.identifier.urihttp://hdl.handle.net/20.500.14038/40143
dc.description.abstractIn this review, we focused on common sources of confusion and errors in the analysis and interpretation of basic science studies. The issues addressed are seen repeatedly in the authors' editorial experience, and we hope this article will serve as a guide for those who may submit their basic science studies to journals that publish both clinical and basic science research. We have discussed issues related to sample size and power, study design, data analysis, and presentation of results. We then illustrated these issues using a set of examples from basic science research studies.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=27688237&dopt=Abstract">Link to Article in PubMed</a>
dc.rights© 2016 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectbasic science
dc.subjectbiostatistics
dc.subjectstatistics
dc.subjectBiostatistics
dc.subjectLife Sciences
dc.subjectStatistics and Probability
dc.titleCommon Statistical Pitfalls in Basic Science Research
dc.typeJournal Article
dc.source.journaltitleJournal of the American Heart Association
dc.source.volume5
dc.source.issue10
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=3948&amp;context=oapubs&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/oapubs/2943
dc.identifier.contextkey9532595
refterms.dateFOA2022-08-23T16:42:41Z
html.description.abstract<p>In this review, we focused on common sources of confusion and errors in the analysis and interpretation of basic science studies. The issues addressed are seen repeatedly in the authors' editorial experience, and we hope this article will serve as a guide for those who may submit their basic science studies to journals that publish both clinical and basic science research. We have discussed issues related to sample size and power, study design, data analysis, and presentation of results. We then illustrated these issues using a set of examples from basic science research studies.</p>
dc.identifier.submissionpathoapubs/2943
dc.contributor.departmentDepartment of Medicine, Division of Cardiovascular Medicine


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© 2016 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.
Except where otherwise noted, this item's license is described as © 2016 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.