JSM2025
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Contributed Posters

Contributed Poster Presentations: Section on Statistical Computing

Tue, Aug 5, 10:30 AM - 12:20 PM Room CC-Hall B Music City Center
Shirin GolchiChair
Section on Statistical Computing

12 Presentations

24: An Application of Cox Mixture Models to End-Stage Kidney Disease
10:30 AM - 12:20 PM
Co-authors: Jason Hasse (South Dakota State University), Semhar Michael (South Dakota State University), Jason Hasse (South Dakota State University)
Survival AnalysisFinite Mixture ModelUnsupervised LearningCox RegressionEnd-Stage Kidney Disease
25: BENFORD'S LAW: A COLLECTION OF FORMAL GOODNESS--OF--FIT TESTS BASED ON EMPIRICAL TRANSFORMS
10:30 AM - 12:20 PM
Co-authors: James Allison (North-West University), James Allison (North-West University), Simos Meintanis (National and Kapodistrian University of Athens), Lethani Ndwandwe (UJ)
Empirical characteristic functionEmpirical Laplace transformMonte Carlo
26: Exploring Physical Activity Data Integration: Merging Accelerometer Data from Multiple Studies
10:30 AM - 12:20 PM
Co-authors: Wei Guo (National Institutes of Health), Andrew Leroux (Department of Biostatistics & Informatics, University of Colorado, Denver, CO), Wei Guo (National Institutes of Health), Vadim Zipunnikov (Johns Hopkins University), Kathleen Merikangas (National Instututes of Health)
mMARCHGGIR packagefunctional principal component analysisdata merging
28: Improvement of Bayesian Personalized Ranking inference using AWSGLD algorithm
10:30 AM - 12:20 PM
Co-authors: Ah-Rim Joo, Ah-Rim Joo, Sooyoung Cheon
Personalized recommendation algorithmBayesian Personalized Rankingadaptively weighted stochastic gradient MCMCImplicit data
29: Intrinsic Dimension of Undirected Networks on Unknown Latent Manifold of Constant Curvature
10:30 AM - 12:20 PM
Co-authors: Feng Wang (University of Texas Health Science Center at Houston), Hongyu Miao (Florida State University), Feng Wang (University of Texas Health Science Center at Houston), Xing Qiu
Intrinsic dimension estimationManifold geometrySimply connected Riemannian manifold
30: Introducing mlmhelpr: A collection of R helper functions for lme4
10:30 AM - 12:20 PM
Co-authors: Louis Rocconi (University of Tennessee), Louis Rocconi (University of Tennessee)
linear mixed modelsmultilevel modelingR programmingR packagestatistical models
31: Numerical Methods for Parameter Estimation of Spatio-Temporal Hawkes Processes
10:30 AM - 12:20 PM
Co-authors: Caleb Fox (Baylor University), Caleb Fox (Baylor University), Rodney Sturdivant, Rakheon Kim (Baylor University)
Hawkes ProcessBlock BootstrapSubsamplingSimulation StudyCriminology
32: Robustness of OLS, Ridge, Lasso, and Elastic Net in Presence of Outliers: Simulation and Application
10:30 AM - 12:20 PM
Co-authors: HM Nayem, Sinha Aziz (Florida International University), Sinha Aziz (Florida International University)
MSEMulticollinearityRidge regressionLassoElastic netOLS
33: TableMage: An LLM-Enhanced Python Package for Low-Code/Conversational Clinical Data Science
10:30 AM - 12:20 PM
Co-authors: Ryan Zhang (Carnegie Mellon University), Andrew Yang (Brown University), Ryan Zhang (Carnegie Mellon University), Joshua Woo (Warren Alpert Medical School), Alan Mach (Warren Alpert Medical School), Prem Ramkumar (Commons Clinic), Ying Ma
softwaredata sciencelarge language modelsagentsgenerative AImachine learning
34: The Use of Multiple Imputation for Missing Data in A Health-Related Study
10:30 AM - 12:20 PM
Co-authors: Bin Ge (University of Missouri-Columbia), Bin Ge (University of Missouri-Columbia)
Missing datamultiple imputationsimulation studylogistic regressionHealth-related study
35: Time Series Forecasting with Conformal Prediction: A Critical Assessment
10:30 AM - 12:20 PM
Co-authors: Minjie Jia, Minjie Jia, Sumanta Basu (Cornell University)
Conformal PredictionTime Series ForecastingUncertainty QuantificationMachine Learning
36: Using AI to generate R Code for Statistical Computations in Clinical Trial Designs
10:30 AM - 12:20 PM
Co-authors: Subhajit Sengupta (Cytel), Subhajit Sengupta (Cytel), Sudipta Basu (Cytel), Subhajit Sengupta (Cytel), J. Kyle Wathen (Cytel)
Generative-AIR-Coding-AssistantCustom-Adaptive-Clinical-Trial-DesignLLMR-Integration
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