Jamart J
Cliniques Universitaires de Mont-Godinne, Université Catholique de Louvain, Yvoir, Belgium.
Acta Oncol. 1992;31(7):723-7. doi: 10.3109/02841869209083860.
Various propositions have been made to improve the statistical quality of medical journals: using statistical referees, promoting better collaboration between statisticians and researchers, and teaching of basic statistics to clinicians. The most frequent errors found in medical articles are misinterpretation of p-values or non-significant results and confusion between statistical and clinical significance, inappropriate use of tests requiring precise assumptions, inappropriate or not controlled multiple testing and particularly testing of post hoc hypotheses, and overemphasis on p-values. Many errors arising from the misinterpretation of results of statistical hypothesis tests, the basic principles of this methodology are emphasized, and the usual fallacies found in the medical literature are reviewed.
为提高医学期刊的统计质量,人们提出了各种建议:使用统计审稿人、促进统计学家与研究人员之间更好的合作,以及对临床医生进行基础统计学教学。医学文章中最常见的错误是对p值或无显著结果的错误解读、统计显著性与临床显著性之间的混淆、对需要精确假设的检验的不当使用、不适当或未控制的多重检验,特别是事后假设检验,以及对p值的过度强调。许多错误源于对统计假设检验结果的错误解读,本文强调了该方法的基本原理,并回顾了医学文献中常见的谬误。