corner
Healthy Skepticism
Join us to help reduce harm from misleading health information.
Increase font size   Decrease font size   Print-friendly view   Print
Register Log in

Healthy Skepticism Library item: 2130

Warning: This library includes all items relevant to health product marketing that we are aware of regardless of quality. Often we do not agree with all or part of the contents.

 

Publication type: Journal Article

Al-Marzouki S, Evans S, Marshall T, Roberts I.
Are these data real? Statistical methods for the detection of data fabrication in clinical trials
BMJ 2005 Jul 30; 331:(7511):267-70
http://bmj.bmjjournals.com/cgi/content/full/331/7511/267


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.

Keywords:
MeSH Terms: Adult Cardiovascular Diseases/prevention & control Chi-Square Distribution Clinical Trials/standards* Clinical Trials/statistics & numerical data Data Collection/standards* Data Collection/statistics & numerical data Data Interpretation, Statistical Diet Humans Middle Aged Multicenter Studies Random Allocation Randomized Controlled Trials/standards Scientific Misconduct/statistics & numerical data*

 

  Healthy Skepticism on RSS   Healthy Skepticism on Facebook   Healthy Skepticism on Twitter

Please
Click to Register

(read more)

then
Click to Log in
for free access to more features of this website.

Forgot your username or password?

You are invited to
apply for membership
of Healthy Skepticism,
if you support our aims.

Pay a subscription

Support our work with a donation

Buy Healthy Skepticism T Shirts


If there is something you don't like, please tell us. If you like our work, please tell others.

Email a Friend








Cases of wilful misrepresentation are a rarity in medical advertising. For every advertisement in which nonexistent doctors are called on to testify or deliberately irrelevant references are bunched up in [fine print], you will find a hundred or more whose greatest offenses are unquestioning enthusiasm and the skill to communicate it.

The best defence the physician can muster against this kind of advertising is a healthy skepticism and a willingness, not always apparent in the past, to do his homework. He must cultivate a flair for spotting the logical loophole, the invalid clinical trial, the unreliable or meaningless testimonial, the unneeded improvement and the unlikely claim. Above all, he must develop greater resistance to the lure of the fashionable and the new.
- Pierre R. Garai (advertising executive) 1963