Contributed Papers

Categorical Data and Longitudinal/Correlated Data Current Research

Sun, Aug 3, 4:00 PM - 5:50 PM Room CC-207A Music City Center

Fanyu CuiChair

Biometrics Section

About this session

In this session, presenters will showcase a wide variety of novel techniques for handling categorical data or longitudinal/correlated data and these applications to various research areas.

7 Presentations

Association between environmental risk factors and preterm birth defects.

4:05 PM - 4:20 PM

Co-authors: Emma Brookman (South Dakota State University), Emma Brookman (South Dakota State University), Hossein Moradi Rekabdarkolaee (South Dakota State University)

Truncated Poisson regression Bayesian modeling

Enhanced Working Correlation Structure Selection for the Modeling of Clustered Data using GEEs

4:20 PM - 4:35 PM

Co-authors: Daniel Boonstra (University of Iowa), Joseph Cavanaugh (University of Iowa), Daniel Boonstra (University of Iowa)

bootstrapping CIC generalized estimating equations model selection Occam’s window working correlation structure

Estimation of Some Epidemiological Measures of Association in Multiple Comparative Trials

4:35 PM - 4:50 PM

Co-authors: Krishna Saha (Central Connecticut State University), Krishna Saha (Central Connecticut State University), Soumik Banerjee (Canisius University)

Multiple comparative trials Epidemiologic measures risk difference risk ratio estimation procedures

Local Unbiasedness of Confidence Intervals for a Binomial Proportion

4:50 PM - 5:05 PM

Co-authors: Chung-Han Lee (National Cheng Kung University), Zong-Lin Lin (National Yang Ming Chiao Tung University), Chung-Han Lee (National Cheng Kung University)

Binomial distribution Confidence interval Coverage probability Locally unbiased Probability of false coverage

Multivariate Multinomial Logit Model with ANOVA Decomposition for Correlated Outcomes

5:05 PM - 5:20 PM

Co-authors: Sohyeon Kim (North Carolina State University), Sohyeon Kim (North Carolina State University), Wenbin Lu (North Carolina State University), Luo Xiao, Xinming An (UNC-Chapel Hill)

Multivariate analysis Multinomial Logit Composite Likelihood ANOVA Decomposition Correlated Outcomes Variable Selection

Scalable Joint Modeling of Multiple Biomarkers and Survival Outcomes for Massive Biobank Data

5:20 PM - 5:35 PM

Co-authors: Shanpeng Li (City of Hope), Emily Ouyang (University of California, Riverside), Emily Ouyang (University of California, Riverside), Jin Zhou (UCLA), Xinping Cui (University of California-Riverside), Gang Li (University of California-Los Angeles)

competing risks massive data multiple biomarkers normal approximation scalable joint models

Stochastic Covariates in Poisson Regression

5:35 PM - 5:50 PM

Co-authors: Evrim Oral (LSUHSC School of Public Health), Evrim Oral (LSUHSC School of Public Health)

Outliers Robustness Poisson Regression Stochastic covariates