Literature DB >> 12705455

Methodological and statistical techniques: what do residents really need to know about statistics?

James F Reed1, Philip Salen, Pooneh Bagher.   

Abstract

The purpose of this study was to catalog the statistical methods used in six journals two each from the fields of Family Practice, Emergency Medicine, and Obstetrics and Gynecology. We reviewed the quantitative articles from January 1998 through December 2000 from the Journal of Family Practice, the Journal of Family Medicine, the Annals of Emergency Medicine, the Journal of Academic Emergency Medicine. Articles from January 2000 through December 2000 of Obstetrics and Gynecology and the American Journal of Obstetrics and Gynecology were also included. Case reports and editorials were not included in this analysis. There were a total of 1828 articles reviewed (666 from Emergency Medicine articles, 380 from Family Practice, and 782 from Obstetrics and Gynecology). The distribution of study types (cross-sectional or survey, retrospective, or prospective) did not differ between the selected journals within Emergency Medicine, Family Practice, or Obstetrics and Gynecology. Pearson's chi-square/Fisher's Exact test was the statistic of choice overall (47.5%) followed by Student's t-test (33.1%). Analysis-of-variance was used in 23.3% of the studies, nonparametric methods (8.1%), linear regression (17.6%), and odds ratios/logistic regression (17.4%). Other statistical procedures were used less than 10% of the time. These results show that a physician who comfortably comprehends the appropriate use of descriptive statistics Student's t-test, Pearson's chi-square/Fisher's Exact test will be able to read and interpret at least 70% of the published medical literature. Educational efforts should focus on appropriate study design and analysis.

Mesh:

Year:  2003        PMID: 12705455     DOI: 10.1023/a:1022519227039

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  9 in total

Review 1.  Statistics in medical journals: developments in the 1980s.

Authors:  D G Altman
Journal:  Stat Med       Date:  1991-12       Impact factor: 2.373

2.  Could do better: statistics in anaesthesia research.

Authors:  N W Goodman; C G Powell
Journal:  Br J Anaesth       Date:  1998-06       Impact factor: 9.166

3.  Health services research methods. A survey of two journals.

Authors:  B Finkelstein; S Llorens; D Neuhauser
Journal:  Med Care       Date:  1996-10       Impact factor: 2.983

Review 4.  A review of statistical methods in the Journal of Advanced Nursing.

Authors:  D Anthony
Journal:  J Adv Nurs       Date:  1996-11       Impact factor: 3.187

5.  Use of check lists in assessing the statistical content of medical studies.

Authors:  M J Gardner; D Machin; M J Campbell
Journal:  Br Med J (Clin Res Ed)       Date:  1986-03-22

6.  Statistical guidelines for contributors to medical journals.

Authors:  D G Altman; S M Gore; M J Gardner; S J Pocock
Journal:  Br Med J (Clin Res Ed)       Date:  1983-05-07

7.  Statistical methods in anesthesia articles: an evaluation of two American journals during two six-month periods.

Authors:  M J Avram; C A Shanks; M H Dykes; A K Ronai; W M Stiers
Journal:  Anesth Analg       Date:  1985-06       Impact factor: 5.108

8.  Statistics in medical journals.

Authors:  D G Altman
Journal:  Stat Med       Date:  1982 Jan-Mar       Impact factor: 2.373

9.  Statistical evaluation of medical journal manuscripts.

Authors:  S Schor; I Karten
Journal:  JAMA       Date:  1966-03-28       Impact factor: 56.272

  9 in total
  11 in total

1.  Choosing statistical tests: part 12 of a series on evaluation of scientific publications.

Authors:  Jean-Baptist du Prel; Bernd Röhrig; Gerhard Hommel; Maria Blettner
Journal:  Dtsch Arztebl Int       Date:  2010-05-14       Impact factor: 5.594

2.  Creating a Data Analysis Plan: What to Consider When Choosing Statistics for a Study.

Authors:  Scot H Simpson
Journal:  Can J Hosp Pharm       Date:  2015 Jul-Aug

3.  Evaluating mastery of biostatistics for medical researchers: need for a new assessment tool.

Authors:  Felicity Enders
Journal:  Clin Transl Sci       Date:  2011-11-07       Impact factor: 4.689

4.  Do clinical and translational science graduate students understand linear regression? Development and early validation of the REGRESS quiz.

Authors:  Felicity Enders
Journal:  Clin Transl Sci       Date:  2013-08-22       Impact factor: 4.689

Review 5.  Review of the Statistical Methods Used in Original Articles Published in Iranian Journal of Public Health from 2015-2019: A Review Article.

Authors:  Sajjad Bahariniya; Farzan Madadizadeh
Journal:  Iran J Public Health       Date:  2021-08       Impact factor: 1.429

6.  Analysis of statistical methods and errors in the articles published in the korean journal of pain.

Authors:  Kyoung Hoon Yim; Francis Sahngun Nahm; Kyoung Ah Han; Soo Young Park
Journal:  Korean J Pain       Date:  2010-03-10

7.  Choosing statistical test.

Authors:  Shraddha Parab; Supriya Bhalerao
Journal:  Int J Ayurveda Res       Date:  2010-07

8.  A survey of statistics in three UK general practice journal.

Authors:  Alan S Rigby; Gillian K Armstrong; Michael J Campbell; Nick Summerton
Journal:  BMC Med Res Methodol       Date:  2004-12-13       Impact factor: 4.615

9.  A bibliometric analysis of statistical terms used in American Physical Therapy Association journals (2011-2012): evidence for educating physical therapists.

Authors:  Julie K Tilson; Katie Marshall; Jodi J Tam; Linda Fetters
Journal:  BMC Med Educ       Date:  2016-04-22       Impact factor: 2.463

Review 10.  A review of the study designs and statistical methods used in the determination of predictors of all-cause mortality in HIV-infected cohorts: 2002-2011.

Authors:  Kennedy N Otwombe; Max Petzold; Neil Martinson; Tobias Chirwa
Journal:  PLoS One       Date:  2014-02-03       Impact factor: 3.240

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