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Contributed Papers

Applications, Innovations, and Education in Modern Statistics

Mon, Aug 4, 8:30 AM - 10:20 AM Room CC-212 Music City Center

Terrie VasilopoulosChair

Section on Teaching of Statistics in the Health Sciences

6 Presentations

Variance-Guided Regression for Heteroscedastic Data: Estimation and Application in Health Studies

8:35 AM - 8:50 AM

Co-authors: Min Lu (University of Miami), Sibei Liu

Heteroscedasticity Maximum likelihood estimation Nonlinearity

Comparison of sequential data analysis and functional data analysis for locomotor adaptation

8:50 AM - 9:05 AM

Co-authors: Torin Quinlivan, Kacy Kane (Northern Illinois University), Torin Quinlivan, Duchwan Ryu (Northern Illinois University), Christopher Hill (Northern Illinois University)

sequential data analysis functional data analysis Bayesian data analysis Bayesian statistics

Cultivating a Robust Research Environment: A Five-Year Journey at a Private University

9:05 AM - 9:20 AM

Co-authors: Daniel Aksamit (Clarkson College), Daniel Aksamit (Clarkson College)

research in higher education mentoring researchers statistical consulting graduate school imposter syndrome

Double Layers of Causal Inference: Application to fMRI Effective Connectivity Research

9:20 AM - 9:35 AM

Co-authors: Haiyue Song (Brown University), Haiyue Song (Brown University), Ani Eloyan (Brown University), Youjin Lee

causal inference effective connectivity fMRI Alzheimer’s disease

Neighborhood Characteristics and Health Literacy: Evidence from the 2023 Survey of Racism and Public Health with the 2017-2021 American Community Survey

9:35 AM - 9:50 AM

Co-authors: Jonathan Odumegwu, Jonathan Odumegwu, Jemar Bather (Merck), Adrian Harris (NYU), Marina Mautner Wizentier (NYU), Kimberly Kaphingst (University of Utah), Melody Goodman (NYU)

Structural racism Health inequities Neighborhood deprivation Marginalized populations Environmental justice limited health literacy

Statistical challenges in the analysis of proteomics data with small sample size: a simulation study

9:50 AM - 10:05 AM

Co-authors: Kyung Hyun Lee (UTHealth), Claudia Pedroza (University of Texas Medical School), Kyung Hyun Lee (UTHealth), Shervin Assassi (University of Texas Health Science Center at Houston), Chandra Mohan (University of Houston)

Machine learning Proteomics data Performance metrics Small sample sizes

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