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Activity Details


692 * Thu, 8/8/2013, 10:30 AM - 12:20 PM CC-515c
Meta-Analysis and Clustered Data Analysis — Contributed Papers
Section on Statistics in Epidemiology
Chair(s): Li Qin, Yale University
10:35 AM Handling Both-Armed Zero-Events Studies in Meta-Analysis: A Simulation Study Ji Cheng, St. Joseph's Healthcare Hamilton /McMaster University ; Eleanor Pullenayegum, McMaster University ; John K. Marshall, McMaster University, Department of Medicine ; Lehana Thabane, St Joseph's Healthcare Hamilton
10:50 AM Likelihood-Based Meta-Analysis: Conditional vs. Unconditional Approaches Jingjing Yan, The Ohio State University ; Eloise E. Kaizar, The Ohio State University ; Steven MacEachern, Ohio State University
11:05 AM An Alternative Pseudolikelihood Method for Multivariate Random-Effects Meta-Analysis When the Within-Study Correlations Are Unknown Chuan Hong, The University of Texas School of Public Health ; Yong Chen, The University of Texas School of Public Health ; Richard Riley, University of Birmingham
11:20 AM Design Effects in Three-Level Studies Tina Cunningham, Eastern Virginia Medical School ; Robert E. Johnson, Vanderbilt University Department of Biostatistics
11:35 AM State-Space Time-Series Clustering and Inference Using Discrepancies Based on the Kullback-Leibler Information and the Mahalanobis Distance Eric Foster, The University of Iowa ; Joseph Cavanaugh, University of Iowa
11:50 AM Vertically Shifted Mixture Models for Clustering Longitudinal Data Brianna Heggeseth, Williams College ; Nicholas Jewell, University of California Berkeley
12:05 PM Piecewise Spline to Compare Weight Gain Pattern Before and After Diagnosis of Asthma of Children Ages Less Than 5 Years — Md Jobayer Hossain, Nemours Biomedical Research A.I. DuPont Children Hospital ; Li Xie, Johns Hopkins Bloomberg School of Public Health ; Weili Lai, University of Delaware ; Iman Sharif, A I dupont Children Hospital ; H Timothy Bunnell, Nemours Biomedical Research ; Timothy T. Wysocki, Nemours Biomedical Research A.I. DuPont Children Hospital



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