Literature DB >> 27621909

Misuse of statistics in surgical literature.

Matthew S Thiese1, Brenden Ronna1, Riann B Robbins2.   

Abstract

Statistical analyses are a key part of biomedical research. Traditionally surgical research has relied upon a few statistical methods for evaluation and interpretation of data to improve clinical practice. As research methods have increased in both rigor and complexity, statistical analyses and interpretation have fallen behind. Some evidence suggests that surgical research studies are being designed and analyzed improperly given the specific study question. The goal of this article is to discuss the complexities of surgical research analyses and interpretation, and provide some resources to aid in these processes.

Entities:  

Keywords:  Statistical analysis; bias; error; study design

Year:  2016        PMID: 27621909      PMCID: PMC4999723          DOI: 10.21037/jtd.2016.06.46

Source DB:  PubMed          Journal:  J Thorac Dis        ISSN: 2072-1439            Impact factor:   2.895


  18 in total

1.  Non-inferiority trials: design concepts and issues - the encounters of academic consultants in statistics.

Authors:  Ralph B D'Agostino; Joseph M Massaro; Lisa M Sullivan
Journal:  Stat Med       Date:  2003-01-30       Impact factor: 2.373

2.  Usage of statistics in the surgical literature and the 'orphan P' phenomenon.

Authors:  D Oliver; J C Hall
Journal:  Aust N Z J Surg       Date:  1989-06

3.  Clinical biostatistics. XXV. A survey of the statistical procedures in general medical journals.

Authors:  A R Feinstein
Journal:  Clin Pharmacol Ther       Date:  1974-01       Impact factor: 6.875

4.  Statistical errors in papers in the British Journal of Psychiatry.

Authors:  S J White
Journal:  Br J Psychiatry       Date:  1979-10       Impact factor: 9.319

5.  Misuse of statistical methods: critical assessment of articles in BMJ from January to March 1976.

Authors:  S M Gore; I G Jones; E C Rytter
Journal:  Br Med J       Date:  1977-01-08

6.  Misuse of statistical methods in the Australasian surgical literature.

Authors:  J C Hall; D Hill; J M Watts
Journal:  Aust N Z J Surg       Date:  1982-10

Review 7.  An evaluation of the quality of statistical design and analysis of published medical research: results from a systematic survey of general orthopaedic journals.

Authors:  Nick R Parsons; Charlotte L Price; Richard Hiskens; Juul Achten; Matthew L Costa
Journal:  BMC Med Res Methodol       Date:  2012-04-25       Impact factor: 4.615

8.  Application of biostatistics in research by teaching faculty and final-year postgraduate students in colleges of modern medicine: A cross-sectional study.

Authors:  Ad Gore; Yr Kadam; Pv Chavan; Gb Dhumale
Journal:  Int J Appl Basic Med Res       Date:  2012-01

Review 9.  Limits to clinical trials in surgical areas.

Authors:  Marco Kawamura Demange; Felipe Fregni
Journal:  Clinics (Sao Paulo)       Date:  2011       Impact factor: 2.365

Review 10.  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

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