Literature DB >> 16052019

Are these data real? Statistical methods for the detection of data fabrication in clinical trials.

Sanaa Al-Marzouki1, Stephen Evans, Tom Marshall, Ian Roberts.   

Abstract

OBJECTIVES: To test the application of statistical methods to detect data fabrication in a clinical trial.
SETTING: Data from two clinical trials: a trial of a dietary intervention for cardiovascular disease and a trial of a drug intervention for the same problem. OUTCOME MEASURES: Baseline comparisons of means and variances of cardiovascular risk factors; digit preference overall and its pattern by group.
RESULTS: In the dietary intervention trial, variances for 16 of the 22 variables available at baseline were significantly different, and 10 significant differences were seen in means for these variables. Some of these P values were extraordinarily small. Distributions of the final recorded digit were significantly different between the intervention and the control group at baseline for 14/22 variables in the dietary trial. In the drug trial, only five variables were available, and no significant differences between the groups for baseline values in means or variances or digit preference were seen.
CONCLUSIONS: Several statistical features of the data from the dietary trial are so strongly suggestive of data fabrication that no other explanation is likely.

Entities:  

Keywords:  Biomedical and Behavioral Research; Empirical Approach

Mesh:

Year:  2005        PMID: 16052019      PMCID: PMC1181267          DOI: 10.1136/bmj.331.7511.267

Source DB:  PubMed          Journal:  BMJ        ISSN: 0959-8138


  2 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.  MRC trial of treatment of mild hypertension: principal results. Medical Research Council Working Party.

Authors: 
Journal:  Br Med J (Clin Res Ed)       Date:  1985-07-13
  2 in total
  27 in total

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Journal:  Gastric Cancer       Date:  2015-08-23       Impact factor: 7.370

Review 3.  Statistical challenges for central monitoring in clinical trials: a review.

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Journal:  Int J Clin Oncol       Date:  2015-10-23       Impact factor: 3.402

4.  Data fraud in clinical trials.

Authors:  Stephen L George; Marc Buyse
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5.  Suspected research fraud: difficulties of getting at the truth.

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Journal:  BMJ       Date:  2005-07-30

6.  Investigating allegations of scientific misconduct.

Authors:  Jane Smith; Fiona Godlee
Journal:  BMJ       Date:  2005-07-30

7.  Authorship of research papers: ethical and professional issues for short-term researchers.

Authors:  A Newman; R Jones
Journal:  J Med Ethics       Date:  2006-07       Impact factor: 2.903

8.  Are these emergency department performance data real?

Authors:  T E Locker; S M Mason
Journal:  Emerg Med J       Date:  2006-07       Impact factor: 2.740

9.  Evaluation of the potential excess of statistically significant findings in published genetic association studies: application to Alzheimer's disease.

Authors:  Fotini K Kavvoura; Matthew B McQueen; Muin J Khoury; Rudolph E Tanzi; Lars Bertram; John P A Ioannidis
Journal:  Am J Epidemiol       Date:  2008-09-08       Impact factor: 4.897

10.  [Scientific fraud. When researchers become forgers].

Authors:  L Eberhart
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