title: [Comprehensive evaluation of sample data in medical research].
abstract: Comprehensive evaluation methods are generally used to assess the population data. When we need to estimate the sample data in special situations, the impacts brought by the sampling error should be considered. Due to lack of the accurate measurement for the sensitivity and stability in the comprehensive evaluation methods, sampling errors usually cannot be estimated in the sampling research. Monte Carlo simulation was used in this article to solve the probability of the ordering results, and the matlab programs were presented. Based on the simulated results, we change the conventional "absolute conclusion" of comprehensive evaluation methods to "probability results" for the sample data, and put forward a new sorting and ranking method for the results of comprehensive evaluation.
authors.affiliation: School of Public Health, Central South University; Changsha 410078,China.
authors.forename: Yiren
authors.initials: Y
authors.lastname: Wang
authors.forename: Zhenqiu
authors.initials: Z
authors.lastname: Sun
authors.forename: Jiangbo
authors.initials: J
authors.lastname: Xie
authors.forename: Xiaomin
authors.initials: X
authors.lastname: Zeng
mesh_terms: D035843:Biomedical Research; D009010:Monte Carlo Method