|
|
|
|
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
|
