SPEED 6: Social Statistics, Mental Health Statistics, and Survey Methods, Part 1 -- JSM 2026

A Comparison of Linear, Ensemble, and Neural Network Architectures for Estimating Healthcare Costs

8:35 AM - 8:40 AM

Sabine Esmaili

Regression Analysis Machine Learning Healthcare Analytics Neural Networks Business Intelligence

A Stochastic Neoclassical Input-Output Model with Random Agricultural Supply

8:40 AM - 8:45 AM

Luis Frank

input-output model stochastic programming agriculture natural resources ten Raa-Mohnen model Argentina

Advancing College Access: Factor Analysis of Grade 11 College-Going Self-Efficacy

8:45 AM - 8:50 AM

Erin R. Twomey-Wilson (Onward We Learn)

Exploratory Factor Analysis Confirmatory Factor Analysis Psychometrics College Going Self-Efficacy Postsecondary Readiness Construct Validity

An application of Bayesian joint modeling to develop a new personalized VA Women CVD risk score

8:50 AM - 8:55 AM

Haekyung Jeon-Slaughter (University of Texas Southwestern Medical Center)

Co-authors: Callum Doyle (Southern Methodist University), Sy Han Chiou, Xiaofei Chen, Erum Whyne (VA North Texas Health Care System), MinJae Lee (UTHealth-Houston)

Bayesian Joint Model application to a large-scale data set Precision Medicine Prediction model Women's Health Clinical decision making VA Women CVD risk score

Connecting the Data: Population-Scale Linkage to Study Prescription Stimulants and Overdose Risk

8:55 AM - 9:00 AM

Sanae El Ibrahimi (Comagine Health)

Co-authors: Mary Gary (Comagine Health), Kendra Blalock (Comagine Health), Carson Deahl (Comagine Health), Ryan Zamora (McLean Hospital, Harvard Medical School), Yeaonsoo Park (Data Science and Computational Medicine, Simches Division of Child and Adolescent), Alessandro De Nadai (McLean Hospital/Harvard Medical School)

Probabilistic linkage PDMP all-payer claims databases prescription stimulant overdose surveillance population health analytics

Early and Late Birds: Response Timing Patterns as Predictors of Panel Attrition in Online Surveys

9:00 AM - 9:05 AM

Valentina Prospero (Institute for Employment Research (IAB) of the Federal Employment Agency (BA) - Research Department Panel Study Labour Market and Social Security (PASS))

Co-authors: Mustafa Coban (Institut für Arbeitsmarkt- und Berufsforschung (IAB) der Bundesagentur für Arbeit (BA) - Bereich PAS), Christine Distler (Institut für Arbeitsmarkt- und Berufsforschung (IAB) der Bundesagentur für Arbeit (BA) - Bereich PAS), Marcel Müller (Institut für Arbeitsmarkt- und Berufsforschung (IAB) der Bundesagentur für Arbeit (BA) - Bereich PAS)

Response timing in online survey Panel attrition Data quality Fieldmanagement Bias Item non-response

Estimating Customer Wallet Size and Allocation without Surveys: Evidence from E-Commerce Transaction

9:05 AM - 9:10 AM

Sandra Ramirez (Pontificia Universidad Javeriana Cali)

Co-authors: Iván Gutiérrez (Universidad Andrés Bello, Santiago, Chile), Leonardo Jofré (Pontificia Universidad Católica de Chile)

Share-of-Wallet Size-of-Wallet Machine Learning Latent variable Pogit model Customer Analytics

Estimating network clustering with a latent space model from Respondent-Driven Sampling data

9:10 AM - 9:15 AM

Yun Jiang (University of Massachusetts Amherst)

Co-authors: Krista Gile (University of Massachusetts Amherst), Mercy Nyakowa (Kenya Ministry of Health), Daniel Fedha (Kenya Ministry of Health), Hannah Manley (Albert Einstein College of Medicine), Lindsey Riback (Albert Einstein College of Medicine), Matthew Akiyama (Albert Einstein College of Medicine)

Respondent-Driven Sampling RDS Hard-to-reach population Social networks Network clustering Latent space model

Exposure to Personal Care Products and Endocrine-Disrupting Chemicals in SELF

9:15 AM - 9:20 AM

Angela Jeffers (DLH)

Co-authors: Caroll Co (DLH), Lauren A. Wise (Department of Epidemiology, Boston University School of Public Health), Samantha Schildroth (Department of Epidemiology, Boston University School of Public Health), Amelia K. Wesselink (Department of Epidemiology, Boston University School of Public Health), Traci Bethea (Georgetown Lombardi Comprehensive Cancer Center, Georgetown University Medical Center), Anne Marie Jukic (Epidemiology Branch, National Institute of Environmental Health Sciences, NIH), Quaker E. Harmon (Epidemiology Branch, National Institute of Environmental Health Sciences, NIH), Donna D. Baird (Epidemiology Branch, National Institute of Environmental Health Sciences, NIH), Kyla W. Taylor (Division of Translational Toxicology, National Institute of Environmental Health Sciences)

Epidemiology Exploratory analysis Endocrine disrupting chemicals Personal care products Season analysis Accelerated failure time model

Inference for Mean Differences for Skewed Responses: Psychological Well-Being in College Students

9:20 AM - 9:25 AM

Julia Soulakova (University of Central Florida College of Medicine)

Co-authors: Kevin Zou (Univeristy of Central Florida), Mary Schmidt-Owens (University of Central Florida College of Medicine), Joanna Mackie (University of Central Florida College of Medicine)

Skewed outcomes Generalized linear model Gamma regression Log link NLMEANS macro

Measurement and development of digital platform work

9:30 AM - 9:35 AM

Jeremy Heng

digital platform work official statistics international collaboration

Modeling Adolescent Mental Health, Suicide Risk, and Academic Performance Using YRBSS 2023 Data

9:35 AM - 9:40 AM

Sujith Reddy Ganta

Adolescent mental health Suicidal ideation and behavior Supervised machine learning Distance‑based under sampling Predictive modeling

Multitask Learning in Tweedie Generalized Linear Models for Insurance Ratemaking

9:40 AM - 9:45 AM

Melody Denhere (University of Mary Washington)

Co-authors: Guy-vanie Miakonkana (Guardian Life Insurance Company), Emmanuel Thompson (Southeast Missouri State University)

ratemaking multiple perils Tweedie elastic net generalized linear model

Statistical Analysis of Crime Occurrence: Crimestatistics

9:45 AM - 9:50 AM

Yining Ding (Purdue)

Co-authors: William Cleveland (Purdue University), Wen-wen Tung (Purdue University)

Spatiotemporal point processes Adaptive rate estimation Equal-count algorithms Spatial indexing (Hilbert curve)

The Recipe for Response: Data Collection Methodologies of a National Food Diary Survey

9:50 AM - 9:55 AM

Kayla Higgins (US Census Bureau)

Co-authors: Christine Bottini (U.S. Census Bureau), Joseph Rodhouse (USDA Economic Research Service (ERS))

survey methodology experimental design data quality diary survey proxy reporting respondent burden

Using Community Learning Through Data-Driven Discovery to Monitor Substance Use in Rural Communities

9:55 AM - 10:00 AM

Matthew Voss (Iowa State University)

Co-authors: Shawn Dorius (Iowa State University), Kelsey Van Selous (Iowa State University)

Community Learning Through Data-Driven Discovery Rural communities Substance misuse Data visualization Administrative data

Weighted Causal Forests with Complex Survey Data for Heterogenous Treatment Effect Estimation

10:00 AM - 10:05 AM

Chen Yang (Icahn School of Medicine at Mount Sinai)

Co-authors: Bian Liu (Icahn School of Medicine at Mount Sinai), Madhu Mazumdar (Icahn School of Medicine At Mount Sinai), Lihua Li (Icahn School of Medicine At Mount Sinai)

Causal forest Complex survey data Machine Learning Propensity Score Medicare Current Beneficiary Survey

When Trends Change: Joinpoint Regression in Public Health Surveillance

10:05 AM - 10:10 AM

Sanae El Ibrahimi (Comagine Health)

Co-authors: Mary Gary (Comagine Health), Kendra Blalock (Comagine Health), Carson Deahl (Comagine Health), Ryan Zamora (McLean Hospital, Harvard Medical School), Alessandro De Nadai (McLean Hospital/Harvard Medical School)

Joinpoint regression Segmented trend detection Public health research

Who is the Statistical Consultant? An Analysis of the CNSL Directory

10:10 AM - 10:15 AM

Neal Fultz

Clustering Statistical Consulting

SPEED 6: Social Statistics, Mental Health Statistics, and Survey Methods, Part 1

19 Presentations