Speed 6: Data Science and Statistics: Theory and Applications, Part 1 -- JSM 2025

A family of instruments for assessing statistics and data science learning experiences

10:35 AM - 10:40 AM

Co-authors: Alana Unfried (California State University, Monterey Bay), Alana Unfried (California State University, Monterey Bay), Douglas Whitaker, Leyla Batakci (Elizabethtown College), Marjorie Bond (The Pennsylvania State University), April Kerby-Helm (Winona State University), Michael Posner (Villanova University)

attitudes statistics education data science education learning environment undergraduate psychometrics

A Simple Test for Technological Change in the Input-Output Model

10:40 AM - 10:45 AM

Co-authors: Luis Frank, Luis Frank

Input-Ouput model technological change National Accounts Make and Use Tables Wald's statistic chi-square

An Interpretable Approximation for The Threshold Parameter of Weibull Probability Distributions

10:45 AM - 10:50 AM

Co-authors: Frederic Holland (NASA Glenn Research Center)

mean, μ standard deviation, σ skew coefficient threshold parameter, γ random variable Weibull distribution

Are the Gospels and Acts historical? The female names compared to the historical distribution...

10:50 AM - 10:55 AM

Co-authors: Jason Wilson (Biola University), Jason Wilson (Biola University)

Bible Gospel goodness-of-fit test historical text analysis

Assessing Home-Field Advantage in the Presidents Cup: Impact on Competitive Balance and Team Perform

10:55 AM - 11:00 AM

Co-authors: Collin Kneiss (Syracuse University), Hunter Geise (Syracuse University), Collin Kneiss (Syracuse University), Charlotte Howland (Syracuse University), Justin Ehrlich

golf home field advantage team dynamics sport analytics presidents cup tournament

Asymptotic properties of Impulse Indicator Saturation under outlier contamination

11:00 AM - 11:05 AM

Co-authors: Otso Hao (University of Oxford), Otso Hao (University of Oxford)

Outlier detection Robust estimation and inference Linear models and regression Time series

Biostat PRODIGY

11:05 AM - 11:10 AM

Co-authors: Kristen McQuerry, Kristen McQuerry

Biostatistics Education STEM Workforce Diversity Statistical Programming Community Engagement

Bridging Data Science and Product Thinking: Creating High-Impact Data Products

11:10 AM - 11:15 AM

Co-authors: Rajat Verma, Rajat Verma

Data Products Data Science and Analytics Scalable Machine Learning Models Self-service analytics Product thinking Adoption and impact of Data Science solutions

Confidence Interval Coverage in a Multicollinear Logistic Regression Model: A Simulation Study

11:15 AM - 11:20 AM

Co-authors: Sultana Mubarika Chowdhury (Florida International University), Zoran Bursac (Florida International University), Sultana Mubarika Chowdhury (Florida International University), B.M. Kibria (Florida International University)

Multicollinearity logistic regression shrinkage parameter confidence interval coverage probability

Differential Privacy in the Survey Context: The Impact of Weighting Class Adjustments on the Sensitivity of a Population Total

11:20 AM - 11:25 AM

Co-authors: Srijeeta Mitra (University of Maryland College Park), Srijeeta Mitra (University of Maryland College Park), Jörg Drechsler (Institute for Employment Research, Germany), Soumojit Das (University of Michigan)

Differential privacy Nonresponse bias Post-stratification Sensitivity Survey Statistic Data confidentiality

Efficient Dynamic Prediction of High-density Multilevel Generalized Functional Data

11:30 AM - 11:35 AM

Co-authors: Ying Jin (National Institute of Environmental Health Sciences), Ying Jin (National Institute of Environmental Health Sciences)

Dynamic Prediction Functional Data Longitudinal Data Wearable Device Generalized Functional Data Mixed effect models

Enhancing Trading Performance with Optimized MACD and Multi-Indicator Integration

11:35 AM - 11:40 AM

Co-authors: Luyun Lin, Yiqing Wang (Independent Researcher), Luyun Lin

MACD Backtesting False Signal Reduction Parameter Optimization

Multifaceted Gender Identity Measurement (M-GIM): A Viable Alternative to Forced-Choice Assessments

11:40 AM - 11:45 AM

Co-authors: Andrew Chuang, Thomas Belin (University of California-Los Angeles), Andrew Chuang, Donatello Telesca (UCLA School of Public Health), Zichen Liu (University of California, Los Angeles)

gender identity sexual orientation ordinal data cluster analysis nonbinary gender fluidity

Parallel Universes: Decision Analysis and Data Science

11:45 AM - 11:50 AM

Co-authors: Mark Otto (Independent), Mark Otto (Independent)

decision analysis structured decision-making collaboration

Performances of Some Improved Estimators and their Robust Version with Outliers

11:50 AM - 11:55 AM

Co-authors: Nusrat Yasmin (Florida International University), Zoran Bursac (Florida International University), Nusrat Yasmin (Florida International University), B.M. Kibria (Florida International University)

Linear Regression Mean Square Error M-estimator Multicollinearity outliers Ridge Regression

Power BI app for Tolerance Intervals and Reduced Major Axes Regression

11:55 AM - 12:00 PM

Co-authors: William Harper (DNV), William Harper (DNV)

ILI pipeline correlation oil RMA tolerance

Restricted Mean Survival Time-Based Adjustment of Hazard Ratio Confidence Intervals

12:00 PM - 12:05 PM

Co-authors: Hyejeong Jang (Wayne State University), Deepti Jain (Wayne State University), Hyejeong Jang (Wayne State University), Marya Wahidi (University of Michigan), Radhika Gogoi (Wayne State University), Rouba Ali-Fehmi (Wayne State University), Seongho Kim (Wayne State University)

Restricted mean survival time ratio Cox proportional hazard assumption Weighted Cox model

Testing the Coefficients for the Two-Parameter Multicollinear Linear Regression Model

12:05 PM - 12:10 PM

Co-authors: Md Ariful Hoque (Florida International University), Zoran Bursac (Florida International University), Md Ariful Hoque (Florida International University), B.M. Kibria (Florida International University)

Empirical power Linear Regression Type I error rate Multicollinearity Ridge Regression estimator Simulation study

Toward a robust and simple guideline for checking the Central Limit Theorem

12:10 PM - 12:15 PM

Co-authors: Visruth Srimath Kandali (California Polytechnic State University), Beth Chance (California Polytechnic State University), Visruth Srimath Kandali (California Polytechnic State University)

Applied Statistics Statistical Pedagogy Simulation Central Limit Theorem Skewness Normality Check

Variants of Regression Tests for Assessing Publication Bias

12:15 PM - 12:20 PM

Co-authors: Linyu Shi (AbbVie Inc.), Linyu Shi (AbbVie Inc.), Lifeng Lin

meta-analysis publication bias Egger's regression

Speed 6: Data Science and Statistics: Theory and Applications, Part 1

20 Presentations