Literature DB >> 6332629

Misuse of statistical methods in Arthritis and Rheumatism. 1982 versus 1967-68.

D T Felson, L A Cupples, R F Meenan.   

Abstract

Articles published in Arthritis and Rheumatism in 1982 were compared with those from 1967-68 to evaluate trends in statistical methods and in the quantity and character of statistical misuse. Results show that among articles in 1982 using statistics, 66% contained methodologic errors. The percentage was similar in 1967-68, although fewer articles used statistics. In 1967-68 the most common error was failure to identify the statistical method used, whereas in 1982 multiple testing errors predominated, specifically, use of the t-test to compare 3 or more groups and comparison of 2 groups on multiple variables. The availability of calculators and computers which readily perform complex data analysis may underly the emergence of multiple testing errors. To compare multiple groups, we suggest using analysis of variance instead of the t-test. To avoid multiple testing errors, we recommend limiting the number of tests performed, lowering the alpha (significance) level, or using multivariate techniques.

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Year:  1984        PMID: 6332629     DOI: 10.1002/art.1780270908

Source DB:  PubMed          Journal:  Arthritis Rheum        ISSN: 0004-3591


  7 in total

Review 1.  Review of the use of statistics in infection and immunity.

Authors:  Cara H Olsen
Journal:  Infect Immun       Date:  2003-12       Impact factor: 3.441

2.  Inconsistencies between reported test statistics and p-values in two psychiatry journals.

Authors:  David Berle; Vladan Starcevic
Journal:  Int J Methods Psychiatr Res       Date:  2007       Impact factor: 4.035

Review 3.  Statistical inference in abstracts of major medical and epidemiology journals 1975-2014: a systematic review.

Authors:  Andreas Stang; Markus Deckert; Charles Poole; Kenneth J Rothman
Journal:  Eur J Epidemiol       Date:  2016-11-17       Impact factor: 8.082

4.  Assessment of errors and misused statistics in dental research.

Authors:  Jee Soo Jay Kim; Dong-Kie Kim; Suk Jin Hong
Journal:  Int Dent J       Date:  2011-06       Impact factor: 2.607

Review 5.  The misuse and abuse of statistics in biomedical research.

Authors:  Matthew S Thiese; Zachary C Arnold; Skyler D Walker
Journal:  Biochem Med (Zagreb)       Date:  2015       Impact factor: 2.313

6.  High incorrect use of the standard error of the mean (SEM) in original articles in three cardiovascular journals evaluated for 2012.

Authors:  Marcel Wullschleger; Soheila Aghlmandi; Marcel Egger; Marcel Zwahlen
Journal:  PLoS One       Date:  2014-10-29       Impact factor: 3.240

7.  Prevalence and Prevention of Reproducibility Deficiencies in Life Sciences Research: Large-Scale Meta-Analyses.

Authors:  Nadine M Mansour; E Andrew Balas; Frances M Yang; Marlo M Vernon
Journal:  Med Sci Monit       Date:  2020-09-22
  7 in total

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