Ten Common Statistical Errors from All Phases of Research, and Their Fixes.
Statistical errors are surprisingly common and threaten the credibility of biomedical research.[[1], [3]] This issue has received increasing attention in recent years, including in the popular media,[[4], [6]] prompting calls for statistical reform. We present examples of 10 common mistakes that occ...
| Publicado en: | PM & R: Journal of Injury, Function & Rehabilitation Vol. 12; no. 6; pp. 610 - 615 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Wiley-Blackwell
Jun2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=143547652&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 143547652 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 19341482 8NET jtl: PM & R: Journal of Injury, Function & Rehabilitation issn: 19341482 maglogo: N pubinfo: dt: Jun2020 vid: 12 iid: 6 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 143547652 143547652 145851563 NLM32358859 10.1002/pmrj.12395 NLM32358859 143547652 ppf: 610 ppct: 5 formats: tig: atl: Ten Common Statistical Errors from All Phases of Research, and Their Fixes. aug: au: Borg, David N. Lohse, Keith R. Sainani, Kristin L. affil: The Hopkins Centre, Menzies Health Institute Queensland, Griffith University, Brisbane Queensland,, Australia sug: subj: Data Analysis, Statistical Study Design Arthritis Impact Measurement Scales ab: Statistical errors are surprisingly common and threaten the credibility of biomedical research.[[1], [3]] This issue has received increasing attention in recent years, including in the popular media,[[4], [6]] prompting calls for statistical reform. We present examples of 10 common mistakes that occur during four phases of research: study design; data wrangling and cleaning; data analysis; and reporting. B Solution: b The authors should have designed the study as a noninferiority trial, which aims to show that one intervention is not "unacceptably worse" than another.[14] In a noninferiority study, researchers specify I a priori i a noninferiority margin - a difference that would be considered too small to care about (eg, an increase in adiponectin of 0.5 mg/L). Conclusions Statistical errors can occur during all phases of a study, from study design to reporting. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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