title: [Statistical concepts related to negative clinical results].
abstract: It is a trend that clinical researchers overemphasize on hypothesis testing and the P value. However, P value has some limitations in the presentation of study results. Power is a tool for study design and results explanation, especially for negative results. Confidence interval contains more information for clinical results than P value. P value, power, and 95% confidence interval should be provided in the clinical reports to facilitate the interpretation of the results.
authors.affiliation: Center for Evidence-based Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
authors.forename: Wei
authors.initials: W
authors.lastname: Chen
authors.forename: Guo-hua
authors.initials: GH
authors.lastname: Zheng
authors.forename: Jian-ping
authors.initials: JP
authors.lastname: Liu
mesh_terms: D016001:Confidence Intervals; D003627:Data Interpretation, Statistical; D017063:Outcome Assessment, Health Care; D012107:Research Design