Online Program Home
  My Program

All Times EDT

* = applied session       ! = JSM meeting theme

Activity Details

192 Tue, 8/4/2020, 10:00 AM - 2:00 PM Virtual
Study of Health Outcomes Using Large Cohort Data — Contributed Papers
Biometrics Section, Lifetime Data Science Section
Chair(s): Yinqiu He, University of Michigan
Weight Calibration to Improve the Efficiency of Pure Risk Estimates from Case-Control Samples Nested in a Cohort
Yei Eun Shin, National Cancer Institute; Ruth Pfeiffer, National Cancer Institute; Barry Graubard, National Cancer Institute ; Mitchell H. Gail, National Cancer Institute
A Flexible Approach to Modeling the Dependency of Health Outcomes on Dietary Intake
Brenna Curley, Moravian College
Modeling and Analysis of Sleep Apnea Events Data from Infants Using Pacifiers for Improved Diagnosis of Obstructive Sleep Apnea
Sujay Datta, University of Akron
Gestational Age and Disease Patterns in Early Childhood: A Comprehensive Study Using Large Sample Size
Hacene Boukari, Delaware State University; Fatima Boukari, Delaware State University; Md Hossain, Nemours Biomedical Research, A.I. DuPont Children's Hospital
Ensemble of Empirical Bayes Method to Integrate Summary-Level Information from Multiple External Studies into the Current Study
Tian Gu, University of Michigan; Jeremy Taylor, University of Michigan; Bhramar Mukherjee, University of Michigan
Quantifying Patterns and Predictors of Respiratory Distress Using Time Series Methods
Camille Hochheimer, The University of Virginia; Sarah Ratcliffe, The University of Virginia; Ronald Williams, The University of Virginia; Shrirang Gadrey, The University of Virginia Health System; William Ashe, The University of Virginia
Quantile Probit Copula Model for the Joint Modeling of Correlated Binary Outcomes
Roberta De Vito, Brown University; Isabella Grabski, Harvard University; Barbara Engelhardt, Princeton University