Statistical Code to Support the Scientific Story
Abstract
Editorials5 June 2018Statistical Code to Support the Scientific StoryA. Russell Localio, PhD, Steven N. Goodman, MD, PhD, Anne Meibohm, PhD, John E. Cornell, PhD, Catharine B. Stack, PhD, Eric A. Ross, PhD, ScM, and Cynthia D. Mulrow, MD, MScA. Russell Localio, PhDUniversity of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania (A.R.L.), Steven N. Goodman, MD, PhDStanford University School of Medicine, Stanford, California (S.N.G.), Anne Meibohm, PhDAmerican College of Physicians, Philadelphia, Pennsylvania (A.M., C.B.S., C.D.M.), John E. Cornell, PhDUniversity of Texas Health Science Center, San Antonio, Texas (J.E.C.), Catharine B. Stack, PhDAmerican College of Physicians, Philadelphia, Pennsylvania (A.M., C.B.S., C.D.M.), Eric A. Ross, PhD, ScMFox Chase Cancer Center and Temple University, Philadelphia, Pennsylvania (E.A.R.), and Cynthia D. Mulrow, MD, MScAmerican College of Physicians, Philadelphia, Pennsylvania (A.M., C.B.S., C.D.M.)Author, Article, and Disclosure Informationhttps://doi.org/10.7326/M17-3431 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail Clearly presented and transparently reported statistical code is a sine qua non for reproducible research. More than a decade ago, Annals began asking authors to report the availability of code that supported their statistical methods (1). Before that policy adoption, our statistical editors routinely requested and…
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