JSM2026
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Invited Posters

Invited E-Poster Session II

Sun, Aug 2, 9:35 PM - 10:30 PM Room CC-Exhibit Hall A Thomas M. Menino Convention & Exhibition Center
Amy WagamanChair

18 Presentations

01: From Biostatistics to Artificial Intelligence and Machine Learning
9:35 PM - 10:30 PM
Deukwoo Kwon (University of Arkansas for Medical Sciences)
Co-authors: Marcio Diniz (Icahn School of Medicine), Madhu Mazumdar (Icahn School of Medicine At Mount Sinai)
Artificial Intelligence (AI)/ Machine Learning (ML)Multimodal dataAI/ML-enhanced workflows
02: Advancing drug development through reuse of historical trial data: a real use case in lupus erythema
9:35 PM - 10:30 PM
Ying Li (EMD Serono Research and Development Institute, Inc.)
Co-authors: Flavie Moreau (EMD Serono), Sanjeev Roy (Ares Trading SA, Eysins, Switzerland, an affiliate of Merck KGaA)
Clinical trialhistorical trial datalupus erythematosusCLASI
03: Target Trial Emulation for Vasopressin Initiation in Septic Shock Patients
9:35 PM - 10:30 PM
Lucas Takayoshi
Co-authors: Fatema Shafie Khorassani (Boston University School of Public Health), Anica Law (Boston University), Nicholas Bosch (Boston University)
target trial emulationcausal inferenceobservational data
04: Food and Housing Insecurity and Student Outcomes
9:35 PM - 10:30 PM
Rong Zheng (New Mexico State University)
food insecurityhousing insecurityhealth statusacademic performancelogistic regressioncrude odds
05: A Statistical Analysis of the Role of Art in Relation to Perceived Stress in Non-Clinical Settings
9:35 PM - 10:30 PM
Evan Chang
Perceived Stress Scale (PSS-1)Young AdultsArt engagementStress ReductionMusicNaturalistic settings
06: Addressing Competing Risks in High-Dimensional Survival Analysis with Bayesian Spike-and-Slab LASSO
9:35 PM - 10:30 PM
Sophia Huebler
Co-authors: Boyi Guo (Johns Hopkins Bloomberg School of Public Health), Xi Qiao (Huntsman Cancer Institute at the University of Utah)
High-dimensional survival analysisCompeting risksBayesian hierarchical modelingSpike-and-Slab LASSO priors
07: AI-Driven Prediction of ICU Mortality Through Digital Processing of Vital Signs
9:35 PM - 10:30 PM
Paul Rogers (FDA National Center for Toxicological Research (NCTR))
Vital SignsArtificial IntelligenceMachine Learning Python, LSTM, ICU, Mortality, MIMIC,Mortality, MIMICPython, ICULSTM
08: Applying ML to Identify Predictors of High-Cost Non-Hodgkin Lymphoma Patients: MEPS 2020–2023
9:35 PM - 10:30 PM
Philip Yeung (Kansas University Medical Center/ MPKey, LLC.)
Co-authors: Dimitrios Tzachanis (Scripps Health)
Non-Hodgkin LymphomaHealth ExpendituresMachine Learning (XGBoost)Health Care Access BarriersMedical Expenditure Panel Survey (MEPS)
09: Association between PROMIS-10 Survey Scores and Survival Among Patients with Sarcoma
9:35 PM - 10:30 PM
Yue Yu
Co-authors: Marium Husain (The Ohio State University Medical Center James Comprehensive Cancer Center), Hisham Alsharif (University of Texas Galveston), Saurabh Chitnis (The Ohio State University James Comprehensive Cancer Center), Nooruddin Pracha (The Ohio State University College of Medicine), Ahmed Hussein (The Ohio State University), Ankur Sheel (The Ohio State University Comprehensive Cancer Center), James L. Chen (Division of Medical Oncology, The Ohio State University Comprehensive Cancer Center), David A. Liebner (The Ohio State University Comprehensive Cancer Center), Gabriel Tinoco (Division of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH), Xiaokui Mo (The Ohio State University, College of Medicine)
PROMIS-10SarcomaSurvival Analysis
10: Impact of Atezolizumab on Survival Outcomes in Small Cell Lung Cancer
9:35 PM - 10:30 PM
Yohanna Bedelu
Small cell lung cancerImmunotherapySurvival analysisPropensity score methodsReal-world data
11: Measuring the Unseen: Statistical Learning Approaches to Narrative Bias in Historical Accounts
9:35 PM - 10:30 PM
Annie Nguyen
Co-authors: Jonathan Auerbach (George Mason University)
Text embeddingNarrative decompositionNatural Language ProcessingHuman–AI collaborationComparative historical narrativesGenerative AI
13: Multiple Endpoints in Early Phase Decision Making
9:35 PM - 10:30 PM
Emmanuelle Belanger (AstraZeneca)
Co-authors: Danny Lu, Aleksandra Buchowicz (AstraZeneca), Laura Barker (AstraZeneca), Chris Gibbs (AstraZeneca)
decision-makingearly phasemultiple endpointscorrelationmodellingdrug development
14: Estimand Framework - A Retrospective Review
9:35 PM - 10:30 PM
Tulin Shekar (Merck & Co., Inc.)
EstimandsponsorregulatoryICH, E9 (R1)protocolSAP.
15: Smart Experiments Uncover Causal and Predictive Effects of Osmolytes on Fluid Balance: A Holistic
9:35 PM - 10:30 PM
Peter John De Chavez (PepsiCo)
Co-authors: Lindsay Baker (PepsiCo)
design of experimentsOptimizationOsmolytesFluid Balance
16: Predicting Chronic Kidney Disease Progression with Transformer Models
9:35 PM - 10:30 PM
Kevin Lubin (Deloitte Consulting, LLP)
Co-authors: Russ Matthews (Deloitte Consulting, LLP), Leo Corman (Deloitte Consulting, LLP), Michael Greene (Deloitte Consulting), Ashley Hall (Deloitte), Mike Luk (Deloitte Consulting, LLP), Samuel Seibert (Deloitte Transactions and Business Analytics LLP), Adnan Sheikh (Deloitte Consulting, LLP), Yuandao Sun (Deloitte Consulting, LLP)
chronic kidney diseasechronic diseasepredictive modelingBERTtransformer model
17: Introducing Students to Research Before They're 'Ready'
9:35 PM - 10:30 PM
Jessica Chapman (St. Lawrence University)
Co-authors: Ivan Ramler (St. Lawrence University)
Statistics EducationUndergraduate Research
18: Visualizing the Invisible: Using Statistics to Reveal the Hidden Homeless Population
9:35 PM - 10:30 PM
Aleah Talley
Co-authors: Jonathan Auerbach (George Mason University)
Hidden Markov ModelsLatent State ModelingHomelessness MeasurementDynamic Population EstimationAdministrative Data IntegrationStochastic Processes
19: LoT.Gen: A Method for Facilitating Statistical Programming with Generative AI
9:35 PM - 10:30 PM
Sheraz Khan (Colleague)
Co-authors: Rasmita Ardu (Pfizer Inc), Periasamy Karuppannan (Pfizer Inc), Natarajan Vijaikumar (Pfizer Inc), Subha Madhavan (colleague), Priya Iyer (Pfizer Inc), John Samuelsson (Pfizer)
AIGenAIReportingClinical trialsAutomation
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