Efficient utilization of multiple decision processes in the research and development

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We developed a total research on the efficient utilization of multiple decision processes including the estimation of the month age of the American cattle, a unifying approach of non-inferiority, equivalence and superiority tests in a comparative clinical trial, clustering rows of a two-way contingency table and a new approach to estimating the dose response pattern. In particular the clustering rows of a contingency table made a progress in the multiple comparison procedures in the analysis of a two-way interaction and led to a new theme of detecting a signal of a prominent combination in the large two-way table of drugs and adverse events. Further the research on the multivariate multiple comparison procedures, the control of the false discovery rate in the analysis of the micro-array data and the reliability analysis based on the post market data have been developed by the collaborative researchers.