[Analysis of common on statistical errors in biomedical journals].
OBJECTIVE
To evaluate the right usage of statistical methods in medical articles.


METHODS
544 theses from eight medical journals published during 1998 and 2005 were analyzed.


RESULTS
136 theses had obvious statistical errors, accounting for 25.00%. The main types of the errors were: the wrong methods of data analyzing for 61.76%, diagram error for 14.71%, non-statistical dealing for 8.82%, the mixture of rate and ratio for 8. 82%, and the other error for 5. 88%.


CONCLUSIONS
The statistical methods should be highly valued. Despite handing the manuscript to the specialist in the same field, the statistician checking system should be built through the process of manuscript dealing.
Shen
Jin
J
Editorial Board of Journal of Sichuan University (Medical Science Edition), Chengdu, Sichuan, 610041, P.R. China. 2006sj@163.com
Gou
Li
L
Tang
Jie
J
D035843:Biomedical Research; D002681:China; D003627:Data Interpretation, Statistical; D006801:Humans; D010506:Periodicals as Topic; D012107:Research Design