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: 2279

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

Garcia-Berthou E, Alcaraz C.
Incongruence between test statistics and P values in medical papers.
BMC Med Res Methodol 2004 May 28; 4:13:
http://www.biomedcentral.com/1471-2288/4/13


Abstract:

BACKGROUND: Given an observed test statistic and its degrees of freedom, one may compute the observed P value with most statistical packages. It is unknown to what extent test statistics and P values are congruent in published medical papers.

METHODS: We checked the congruence of statistical results reported in all the papers of volumes 409-412 of Nature (2001) and a random sample of 63 results from volumes 322-323 of BMJ (2001). We also tested whether the frequencies of the last digit of a sample of 610 test statistics deviated from a uniform distribution (i.e., equally probable digits).

RESULTS: 11.6% (21 of 181) and 11.1% (7 of 63) of the statistical results published in Nature and BMJ respectively during 2001 were incongruent, probably mostly due to rounding, transcription, or type-setting errors. At least one such error appeared in 38% and 25% of the papers of Nature and BMJ, respectively. In 12% of the cases, the significance level might change one or more orders of magnitude. The frequencies of the last digit of statistics deviated from the uniform distribution and suggested digit preference in rounding and reporting.

CONCLUSIONS: This incongruence of test statistics and P values is another example that statistical practice is generally poor, even in the most renowned scientific journals, and that quality of papers should be more controlled and valued.

Keywords:
MeSH Terms: Comparative Study Confidence Intervals* Data Interpretation, Statistical* Humans Periodicals/standards* Periodicals/statistics & numerical data Periodicals/trends* Quality Control Research Support, Non-U.S. Gov't

 

  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