Literature DB >> 29268423

Truths, lies, and statistics.

Matthew S Thiese1, Skyler Walker1, Jenna Lindsey1.   

Abstract

Distribution of valuable research discoveries are needed for the continual advancement of patient care. Publication and subsequent reliance of false study results would be detrimental for patient care. Unfortunately, research misconduct may originate from many sources. While there is evidence of ongoing research misconduct in all it's forms, it is challenging to identify the actual occurrence of research misconduct, which is especially true for misconduct in clinical trials. Research misconduct is challenging to measure and there are few studies reporting the prevalence or underlying causes of research misconduct among biomedical researchers. Reported prevalence estimates of misconduct are probably underestimates, and range from 0.3% to 4.9%. There have been efforts to measure the prevalence of research misconduct; however, the relatively few published studies are not freely comparable because of varying characterizations of research misconduct and the methods used for data collection. There are some signs which may point to an increased possibility of research misconduct, however there is a need for continued self-policing by biomedical researchers. There are existing resources to assist in ensuring appropriate statistical methods and preventing other types of research fraud. These included the "Statistical Analyses and Methods in the Published Literature", also known as the SAMPL guidelines, which help scientists determine the appropriate method of reporting various statistical methods; the "Strengthening Analytical Thinking for Observational Studies", or the STRATOS, which emphases on execution and interpretation of results; and the Committee on Publication Ethics (COPE), which was created in 1997 to deliver guidance about publication ethics. COPE has a sequence of views and strategies grounded in the values of honesty and accuracy.

Entities:  

Keywords:  Research misconduct; analytical methods; fabrication; falsification

Year:  2017        PMID: 29268423      PMCID: PMC5723807          DOI: 10.21037/jtd.2017.09.24

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


  44 in total

1.  The role of biostatistics in the prevention, detection and treatment of fraud in clinical trials.

Authors:  M Buyse; S L George; S Evans; N L Geller; J Ranstam; B Scherrer; E Lesaffre; G Murray; L Edler; J Hutton; T Colton; P Lachenbruch; B L Verma
Journal:  Stat Med       Date:  1999-12-30       Impact factor: 2.373

2.  Effects of article retraction on citation and practice in medicine.

Authors:  J M Budd; M Sievert; T R Schultz; C Scoville
Journal:  Bull Med Libr Assoc       Date:  1999-10

3.  Fraud will out--or will it?

Authors:  June Price Tangney
Journal:  New Sci       Date:  1987-08-06       Impact factor: 0.319

4.  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

5.  Retractions: guidance from the Committee on Publication Ethics (COPE).

Authors:  Elizabeth Wager; Virginia Barbour; Steven Yentis; Sabine Kleinert
Journal:  Croat Med J       Date:  2009-12       Impact factor: 1.351

Review 6.  Retraction of Neurosurgical Publications: A Systematic Review.

Authors:  Justin Wang; Jerry C Ku; Naif M Alotaibi; James T Rutka
Journal:  World Neurosurg       Date:  2017-04-13       Impact factor: 2.104

7.  Low power, type II errors, and other statistical problems in recent cardiovascular research.

Authors:  J L Williams; C A Hathaway; K L Kloster; B H Layne
Journal:  Am J Physiol       Date:  1997-07

8.  Ensuring trial validity by data quality assurance and diversification of monitoring methods.

Authors:  Colin Baigent; Frank E Harrell; Marc Buyse; Jonathan R Emberson; Douglas G Altman
Journal:  Clin Trials       Date:  2008       Impact factor: 2.486

Review 9.  Statistical errors in medical research - a review of common pitfalls.

Authors:  Alexander M Strasak; Qamruz Zaman; Karl P Pfeiffer; Georg Göbel; Hanno Ulmer
Journal:  Swiss Med Wkly       Date:  2007-01-27       Impact factor: 2.193

Review 10.  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

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  3 in total

1.  A CHecklist for statistical Assessment of Medical Papers (the CHAMP statement): explanation and elaboration.

Authors:  Mohammad Ali Mansournia; Gary S Collins; Rasmus Oestergaard Nielsen; Maryam Nazemipour; Nicholas P Jewell; Douglas G Altman; Michael J Campbell
Journal:  Br J Sports Med       Date:  2021-01-29       Impact factor: 18.473

2.  - Editorial - Guidelines for experimental design and statistical analyses in animal studies submitted for publication in the Asian-Australasian Journal of Animal Sciences.

Authors:  Seongwon Seo; Seoyoung Jeon; Jong K Ha
Journal:  Asian-Australas J Anim Sci       Date:  2018-07-26       Impact factor: 2.509

Review 3.  The 1-h fraud detection challenge.

Authors:  Marcel A G van der Heyden
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2021-07-10       Impact factor: 3.000

  3 in total

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