S4: Speed Session 4 -- WSDS 2025

01. The Regional Effect of Mental Health in the United States

2:30 PM - 4:00 PM

Co-authors: Brianne Weaver (Brigham Young University), Robert Richardson (Brigham Young University), Brianne Weaver (Brigham Young University), Brian Hartman (Brigham Young University), Brigg Trendler (Brigham Young University), Chris Groendyke (Robert Morris University), Davey Erekson (Brigham Young University)

mortality improvement Bayesian modeling spatial generalized linear model conditional auto-regressive priors mental health

02. Saving lives, reducing costs: Predicting healthcare utilization from whole-person health using partially validated electronic health records data

2:30 PM - 4:00 PM

Co-authors: Grayson Weavil (Wake Forest University), Sarah Lotspeich (Wake Forest University), Grayson Weavil (Wake Forest University)

allostatic load index (ALI)electronic health record (EHR)partially-validated missing data

03. Time-Varying Covariate Analysis of Dementia Risk Between Autistic and Non-Autistic Older Adults in Medicare

2:30 PM - 4:00 PM

Co-authors: Melica Nikahd, Madison Hyer, Melica Nikahd, Lauren Bishop (University of Wisconsin–Madison), Brittany Hand (The Ohio State University)

survival analysis Cox regression time-varying covariates secondary data Medicare Autism

Withdrawn - 04. Statistical Framework for Spatial and Economic Prioritization of Distributed Wind

2:30 PM - 4:00 PM

Co-authors: Sara Abril Guevara (National Renewable Energy Laboratory), Sara Abril Guevara (National Renewable Energy Laboratory), Paula Perez (National Renewable Energy Laboratory), Jane Lockshin (National Renewable Energy Laboratory), Caleb Phillips (National Renewable Energy Laboratory)

Distributed Wind Energy Burden Nonparametric Methods Mixed Models Annual Energy Production

05. Exploring Associations between Latino Cultural Values, ADHD Stigma, and Help-Seeking Attitudes in a Community Sample in Mexico: A Mediation Analysis

2:30 PM - 4:00 PM

Co-authors: Aranya Shukla, Suzanne Dufault (University of California, San Francisco), Aranya Shukla, Samira Soleimanpour (University of California, San Francisco), Lauren Haack (UCSF)

ADHD Latino Cultural Values Mental Health Stigma Help-Seeking Attitudes

06. AI-Driven Patent Data Extraction and Analysis for Agricultural Patents

2:30 PM - 4:00 PM

Co-authors: Srishti Maurya, Anna Bajszczak, Srishti Maurya, Lina Im (Student)

Patent Data Extraction Large Language Models (LLMs)Intellectual Property Analytics Structured Data Retrieval Student-Led Research Data-Driven Decision Making

07. Maximum Entropy Mortality Forecasting for U.S. Females

2:30 PM - 4:00 PM

Co-authors: Jing Jing, Tatjana Miljkovic (Miami University), Jing Jing

Maximum Entropy Mortality Mortality Forecasting Age-at-Death Distribution Human Mortality Database U.S. Female Mortality

08. Comparing novel machine-learning derived weights versus standard weights for the Charlson Comorbidity Index in predicting mortality for autistic older adults

2:30 PM - 4:00 PM

Co-authors: Madison Blake, Madison Hyer, Madison Blake, Melica Nikahd, Lauren Bishop (University of Wisconsin–Madison), Brittany Hand (The Ohio State University)

Autism Mortality Machine learning Older adults Charlson

09. Comparing preprocessing methods on inference of exposomic and metabolomic data with application to liver disease health outcomes in a clinical study

2:30 PM - 4:00 PM

Co-authors: Christina Pinkston (University of Louisville and Biostats, Health Inform & Data Sci, University of Cincinnati College of Medicine), Christina Pinkston (University of Louisville and Biostats, Health Inform & Data Sci, University of Cincinnati College of Medicine), Shesh Rai (Biostats, Health Inform & Data Sci, University of Cincinnati College of Medicine), Matthew Cave (University of Louisville)

Exposomics Metagenomics Cohort Studies Normalization Liver Disease

10. Mixed Integer Programming for Feature Selection in Scalar-on-Function Regression

2:30 PM - 4:00 PM

Co-authors: Asha Pantula, Luca Frigato (Università di Torino), Asha Pantula, Ana Kenney (University of California – Irvine), Marzia Cremona (Universite Laval)

Functional data analysis Mixed Integer Programming Model Selection

Withdrawn - 11. "From Local to Live: Taking Analyses into Production"

2:30 PM - 4:00 PM

Co-authors: David Newton, David Newton

software deployment research and development computing systems

12. Consensus Dimension Reduction via Data Integration

2:30 PM - 4:00 PM

Co-authors: Bingxue An (University of Notre Dame), Tiffany Tang (University of Notre Dame), Bingxue An (University of Notre Dame)

Dimension Reduction Data Integration Data Visualization High Dimensional Data

Withdrawn - 13. Decomposing the Spectral Density of ARMA Models to Describe Quasi-Periodic Oscillations in X-ray Binary Systems

2:30 PM - 4:00 PM

Co-authors: Darlin Soto (Universidad del Bío Bío), Giovanni Motta (Columbia University), Darlin Soto (Universidad del Bío Bío), Malgorzata Sobolewska

Time Series Analysis Spectral Density ARMA Models Frequency-Domain Analysis Quasi-Periodic Oscillations Statistical Signal Processing

14. Evaluating variable selection methods to detect DNA methylation patterns predictive of longitudinal outcomes: The impact of ignoring within-subject correlation

2:30 PM - 4:00 PM

Co-authors: Wenjing Liu, Fernanda Schumacher (Ohio State University), Wenjing Liu

Variable selection for correlated data Longitudinal data Epigenetics Penalized regression Simulation study

15. Bridging the Gap: Complementary Data Science Skills That Drive Impact in the Industry

2:30 PM - 4:00 PM

Co-authors: Gunjan Mahindre, Gunjan Mahindre

Bridging the Gap

16. FireGen: Quantifying Wildfire Risk by Simulation

2:30 PM - 4:00 PM

Co-authors: Allyson Hineman, Allyson Hineman

wildfire generator

17. Bayesian Copula Factor Models for Mixed-Type Time Series Data

2:30 PM - 4:00 PM

Co-authors: Samira Zaroudi (John Jay College of Criminal Justice-CUNY), Hadi Safari Katesari, Samira Zaroudi (John Jay College of Criminal Justice-CUNY), Seyed Yaser Samadi (Southern Illinois University-Carbondale)

BCFAR

18. Understanding the Complex Association Between School-Based Mental Health Services and K-2 Early Reading Achievement in 2021-2024 using Longitudinal Data

2:30 PM - 4:00 PM

Co-authors: Naomi Wilcox (UCLA Jane and Terry Semel Institute for Neuroscience and Human Behavior), Naomi Wilcox (UCLA Jane and Terry Semel Institute for Neuroscience and Human Behavior), Hilary J. Aralis (Public Health Sciences, School of Medicine, University of California, Davis), Patricia Tan (UCLA Jane and Terry Semel Institute for Neuroscience & Human Behavior, VA Greater LA Health System), Alyssa R. Palmer (UCLA Jane and Terry Semel Institute for Neuroscience & Human Behavior), Sheryl H. Kataoka Endo (UCLA Jane and Terry Semel Institute for Neuroscience & Human Behavior), Alison Wood (UCLA Jane and Terry Semel Institute for Neuroscience & Human Behavior, VA Greater LA Health System), Roya Ijadi-Maghsoodi (UCLA Jane and Terry Semel Institute for Neuroscience & Human Behavior, VA Greater LA Health System)

Causal inference Observational studies Longitudinal data analysis Administrative data Time-varying exposure Bias

S4: Speed Session 4

18 Presentations