Literature DB >> 8549048

A review of the statistical analysis used in papers published in Clinical Radiology and British Journal of Radiology.

J Goldin1, W Zhu, J W Sayre.   

Abstract

Statistical analysis such as significance testing have become essential features of published medical studies. This has resulted in an increased frequency with which statistics are used, making the interpretation of scientific publications more difficult. There is an extensive array of tests and techniques. The aim of this study is to identify which statistical tests are used in radiology publications. All major articles published in Clinical Radiology and British Journal of Radiology in one year were reviewed. The frequency of statistical methods used was as follows: no statistical method or descriptive statistics only 103 (47%), one type of statistical method 67 (31%), and two or more methods 47 (22%). Statistics dealing with basic inference, decisions, contingency tables or correlation/regression techniques were found in 124 (53%) in which a procedure had been used. Advanced statistics including receiver operating characteristics (ROC), odds ratio, regression techniques, multiway ANOVA, and nonparametric ANOVA studies accounted for only 41 (19%) in which a procedure had been used. We conclude that descriptive analysis and basic statistical techniques account for most of the statistical tests reported. Physicians should concentrate on improving their understanding of basic statistics but advice should be sought from professionals in the fields of biostatistics and epidemiology as to whether the use of more advanced techniques would be more appropriate.

Mesh:

Year:  1996        PMID: 8549048     DOI: 10.1016/s0009-9260(96)80219-4

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  8 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

Review 3.  Usefulness of statistics for establishing evidence-based reproductive medicine.

Authors:  Yasunori Sato; Masahiko Gosho; Kiyotaka Toshimori
Journal:  Reprod Med Biol       Date:  2011-08-05

4.  Study designs and statistical methods in the Journal of Family and Community Medicine: 1994-2010.

Authors:  Abdullah S Aljoudi
Journal:  J Family Community Med       Date:  2013-01

Review 5.  Misuse of statistical methods in 10 leading Chinese medical journals in 1998 and 2008.

Authors:  Shunquan Wu; Zhichao Jin; Xin Wei; Qingbin Gao; Jian Lu; Xiuqiang Ma; Cheng Wu; Qian He; Meijing Wu; Rui Wang; Jinfang Xu; Jia He
Journal:  ScientificWorldJournal       Date:  2011-11-02

6.  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

7.  Statistical trends in the Journal of the American Medical Association and implications for training across the continuum of medical education.

Authors:  Lauren D Arnold; Melissa Braganza; Rondek Salih; Graham A Colditz
Journal:  PLoS One       Date:  2013-10-30       Impact factor: 3.240

Review 8.  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

  8 in total

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