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非参数多重比较程序AI 解读

A general nonparametric methodology for performing multiple comparisons of treatment effects in r-way mixed models is presented. Comparisons can be made among all treatments or for several treatments against a control. The methods can be used on either the raw data or ranked data. Essentially, we perform M permutations of the observations, consistent with our experimental design. For the comparison of all treatments, any “treatment differences” that are larger than 95…

多元分析中的非参数单侧检验及医学应用AI 解读

Permutation tests are applied to the maximal t statistic in two-sample, completely randomized designs, and in two-sample, matched-pair designs, where the response is a vector and the experimenter is interested in one specific direction in each component. Recommendations for subsampling are also included for cases when the number of permutations required to complete the test is prohibitive. These procedures are then applied to data from two medical trials.

R×C 析因配对比较实验的设计AI 解读

Two designs for R × C factorial paired comparison experimente are compared, assuming the Bradley-Terry model. One design employs comparisons of all paira of the RC treatments, and the other degign restricts comparisons to those pairs which have the same level of one factor. Computation of maximum likelihood estimates under several hypotheses is considered for each design. The restricted design has administrative benefits because it requires comparison of fewer distinct pairs…