【特別演講】Notes on testing noninferiority in multivariate binary data under the matched pair design

時 間:2013.5.27(星期一)中午12:30
地 點:管理大樓六樓醫務管理學系會議室
演講者:呂剛中教授(San Diego State University, Fellow of ASA & ACE)
主持人:許光宏教授
講 題:Notes on testing noninferiority in multivariate binary data under the matched pair design

摘要: Because therapeutic efficacy is often measured by multiple endpoints, it will be of use if one can incorporate the information on various variables of response into procedures for testing non-inferiority to improve power of a univariate test procedure for each individual variable. On the basis of the proposed mixed effects logistic regression models for multivariate binary data under the matched-pairs design, we develop procedures for testing non-inferiority with respect to the odds ratio (OR) in multivariate binary data under the matched-pair design. We discuss use of Bonferroni’s and Scheffe’s methods to control the inflation in Type I error due to multiple tests. We further employ Monte Carlo simulation to evaluate and compare the performance of these test procedures. Finally, we use the data taken from a crossover clinical trial that monitored several adverse events of an antidepressive drug to illustrate the use of test

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