Legend:
CC = Baltimore Convention Center,
H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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