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Activity Details

279 * ! Tue, 8/1/2017, 8:30 AM - 10:20 AM CC-348
Nonparametric Tests and Estimations for Clustered Data: It Is Essential for Non-Normal Data — Topic Contributed Papers
International Chinese Statistical Association , Section on Nonparametric Statistics , Section on Statistics in Epidemiology
Organizer(s): Mei-Ling Ting Lee, University of Maryland
Chair(s): Yujing Jiang, University of Connecticut
8:35 AM Estimation of Rank Correlation for Clustered Data Bernard Rosner, Harvard Medical School ; Robert Glynn, Harvard Medical School
8:55 AM Wilcoxon Rank-Based Tests for Clustered Data with R Package Clusrank Jun Yan, University of Connecticut ; Yujing Jiang, University of Connecticut ; Mei-Ling Ting Lee, University of Maryland ; Xin He, University of Maryland, College Park ; Bernard Rosner, Harvard Medical School
9:15 AM Covariate-Adjusted Aligned Rank-Sum Test for Clustered Data with Informative Intra-Cluster Group Size Somnath Datta, University of Florida ; Sandipan Dutta, Duke University
9:35 AM Pearson's Chi-Square Test and Rank Correlation Inferences for Clustered Data Joanna Shih, National Cancer Institute ; Michael Fay, National Institute of Allergy and Infectious Diseases
9:55 AM Incorporate Clustering Effects for the Wilcoxon Rank Sum Test: The Cluswilcox Command Xin He, University of Maryland, College Park ; Jing Zhang, University of Maryland, College Park ; Mei-Ling Ting Lee, University of Maryland ; Bernard Rosner, Harvard Medical School
10:15 AM Floor Discussion
 
 
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