title: [Analysis of common on statistical errors in biomedical journals].
abstract: 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.
authors.affiliation: Editorial Board of Journal of Sichuan University (Medical Science Edition), Chengdu, Sichuan, 610041, P.R. China. 2006sj@163.com
authors.forename: Jin
authors.initials: J
authors.lastname: Shen
authors.forename: Li
authors.initials: L
authors.lastname: Gou
authors.forename: Jie
authors.initials: J
authors.lastname: Tang
mesh_terms: D035843:Biomedical Research; D002681:China; D003627:Data Interpretation, Statistical; D006801:Humans; D010506:Periodicals as Topic; D012107:Research Design