Statistical Code for Clinical Research Papers
Authors: Gregory E. Simon, Rachel Richesson, Kevin Weinfurt, Adrian F. Hernandez, Lesley H. Curtis
Journal: Annals of Internal Medicine (2018)

Letters1 January 2019Statistical Code for Clinical Research PapersGregory E. Simon, MD, MPH, Rachel Richesson, PhD, MPH, Kevin Weinfurt, PhD, Adrian F. Hernandez, MD, MHS, and Lesley H. Curtis, PhDGregory E. Simon, MD, MPHKaiser Permanente Washington Health Research Institute, Seattle, Washington (G.E.S.)Search for more papers by this author, Rachel Richesson, PhD, MPHDuke University School of Nursing and Center for Health Informatics, Durham, North Carolina (R.R.)Search for more papers by this author, Kevin Weinfurt, PhDDuke Clinical Research Institute, Durham, North Carolina (K.W., A.F.H., L.H.C.)Search for more papers by this author, Adrian F. Hernandez, MD, MHSDuke Clinical Research Institute, Durham, North Carolina (K.W., A.F.H., L.H.C.)Search for more papers by this author, and Lesley H. Curtis, PhDDuke Clinical Research Institute, Durham, North Carolina (K.W., A.F.H., L.H.C.)Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/L18-0613 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail TO THE EDITOR:As members of the National Institutes of Health Healthcare Systems Research Collaboratory Coordinating Center, we are ambivalent about Assel and Vickers' report (1) calling for sharing statistical code. We enthusiastically agree that all researchers should share detailed code used for statistical analyses and would expand this concept to include sharing other methods and technical tools, such as those used for data collection and code used to define research data elements from electronic health records. Transparent sharing of all methods and tools should improve the rigor and reproducibility of research and accelerate the development of improved methods. However, ...References1. Assel M, Vickers AJ. Statistical code for clinical research papers in a high-impact specialist medical journal. Ann Intern Med. 2018;168:832-3. [PMID: 29404569]. doi:10.7326/M17-2863 LinkGoogle Scholar2. Might M. The CRAPL: an academic-strength open source license. 2018. Accessed at http://matt.might.net/articles/crapl on 19 November 2018. Google Scholar Author, Article, and Disclosure InformationAffiliations: Kaiser Permanente Washington Health Research Institute, Seattle, Washington (G.E.S.)Duke University School of Nursing and Center for Health Informatics, Durham, North Carolina (R.R.)Duke Clinical Research Institute, Durham, North Carolina (K.W., A.F.H., L.H.C.)Disclosures: Disclosures can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=L18-0613. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetailsSee AlsoStatistical Code for Clinical Research Papers in a High-Impact Specialist Medical Journal Melissa Assel and Andrew J. Vickers Statistical Code for Clinical Research Papers Ravi Varadhan Metrics 1 January 2019Volume 170, Issue 1Page: 80KeywordsComputer softwareDisclosureHealth careHealth statisticsReproducibilityResearch and reporting methodsRunningScientistsSoftware toolsStatistical data ePublished: 1 January 2019 Issue Published: 1 January 2019 Copyright & PermissionsCopyright © 2019 by American College of Physicians. All Rights Reserved.PDF downloadLoading ...