Robust score test for treatment effects for paired continuous and categorical data
鄒宗山教授國立中央大學統計研究所 15:30 – 17:00 鴻經館 M107Abstract：
We develop a score statistic for testing the difference between two treatment effects for paired continuous and categorical responses. The test is legitimate in the presence of within-pair correlation and for general marginal distributions. Simulations show that our new method outperforms the generalized linear mixed model (GLMM) in terms of performance measures most concerned.