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Activity Details
155 * !
Tue, 8/4/2020,
10:00 AM -
11:50 AM
Virtual
Recent Developments in Statistical Methods for Data with Informative Cluster Size — Topic Contributed Papers
ENAR , Biometrics Section, Mu Sigma Rho, Lifetime Data Science Section
Organizer(s): Aya Mitani, Harvard T. H. Chan School of Public Health
Chair(s): Kristin Baltrusaitis, Harvard T. H. Chan School of Public Health
10:05 AM
Marginal Analysis of Multiple Outcomes with Informative Cluster Size
Aya Mitani, Harvard T. H. Chan School of Public Health ; Elizabeth Kaye, Boston University Henry M. Goldman School of Dental Medicine; Kerrie P Nelson, Boston University
10:25 AM
Marginal Inference Under Informative Subgroup Size Induced by a Subject Level Covariate
Somnath Datta, University of Florida
10:45 AM
On the Interplay Between Exposure Misclassification and Informative Cluster Size
Glen McGee, Harvard University ; Marianthi-Anna A Kioumourtzoglou, Columbia University, Dept of Environmental Health Sciences; Marc Weisskopf, Harvard University; Sebastien A. Haneuse, Harvard T.H. Chan School of Public Health; Brent Coull, Harvard University
11:05 AM
A Joint Modeling of Longitudinal Data with Informative Cluster Size Adjusted for Zero-Inflation and Terminal Event
Ming Wang ; Biyi Shen, Pennsylvania State University; Chixiang Chen, Pennsylvania State University; Vern M. Chinchilli, Pennsylvania State University; Nasr Ghahramani, Pennsylvania State University; Danping Liu, Eunice Kennedy Shriver National Institute of Child Health and Human Development; Somnath Datta, University of Florida
11:25 AM
Accounting for Informative Observation Process in Transition Models of Binary Longitudinal Data: A Joint Model Approach
Danping Liu, Eunice Kennedy Shriver National Institute of Child Health and Human Development
11:45 AM
Floor Discussion
