Contributed Papers

Section on Medical Devices and Diagnostics: Statistical Modeling, Data Analysis, and Forecasting Techniques

Wed, Aug 6, 10:30 AM - 12:20 PM Room CC-202C Music City Center

Section on Medical Devices and Diagnostics

7 Presentations

A Proposed Method for Conducting a Comprehensive Assessment of Joint Modeling Prediction Accuracy

10:35 AM - 10:50 AM

Co-authors: Christopher Pretz (Guardant Health), Christopher Pretz (Guardant Health), Daniel Hintz (University of Wyoming), Aaron Hardin (Guardant Health), Sara Wienke (Guardant Health), Samantha Liang (Parker Institute for Cancer Immunotherapy), Enjun Yang (Parker Institute for Cancer Immunotherapy), Amar Das (Guardant Health)

Joint Modeling of Longitudinal and Time-to-Event Data Super Learner Joint Model Model Prediction Accuracy Genomic and Epigenomic ctDNA Liquid Biopsy Biomarkers Model Validation

Counterfactual Forecasting For Panel Data

10:50 AM - 11:05 AM

Co-authors: Navonil Deb, Raaz Dwivedi (Cornell University), Navonil Deb, Sumanta Basu (Cornell University)

Counterfactual forecast Causal forecast Factor models Time series forecast Missing data

Evaluating Phase and Amplitude in Functional Data-Based Biomarkers: Cluster and Reliability Analyses

11:05 AM - 11:20 AM

Co-authors: Jeong Hoon Jang (University of Texas Medical Branch), Jeong Hoon Jang (University of Texas Medical Branch)

agreement amplitude variation biomarker evaluation functional data clustering phase variation reliability

High-Dimentional Variable Selection: an Ensemble-based Method

11:20 AM - 11:35 AM

Co-authors: Han Sun (Cleveland Clinic), Xiaofeng Wang (The Cleveland Clinic Foundation), Han Sun (Cleveland Clinic)

variable selection high-dimensional flexible object function

Multi-reader multi-case AUC analysis methodology for Artificial Intelligence Applications

11:35 AM - 11:50 AM

Co-authors: Stephen Hillis (University of Iowa), Stephen Hillis (University of Iowa)

Artificial intelligence Obuchowski-Rockette Diagnostic studies Area under the ROC curve (AUC)ROC Multi-reader multi-case study design

Statistical approaches to chronic disease preventive behaviors profiling

11:50 AM - 12:05 PM

Co-authors: MinJae Lee (UTHealth-Houston), Belinda Reininger (University of Texas Health Science Center at Houston, School of Public Health), MinJae Lee (UTHealth-Houston), Kelley Gabriel (University of Alabama at Birmingham, Birmingham,), Nalini Ranjit (University of Texas Health Science Center at Houston, School of Public Health), Larkin Strong (University of Texas MD Anderson Cancer Center)

Biomarkers Quantile Regression Lifestyle behaviors Left-censoring Longitudinal data

Using Wearable Device Data for Step Measurement On Parkinson’s Disease Population

12:05 PM - 12:20 PM

Co-authors: Howon Ryu (UC San Diego, Department of Family Medicine & Public Health), Howon Ryu (UC San Diego, Department of Family Medicine & Public Health), Derek Hansen (University of Michigan), Meyeon Lee (Food and Drug Administration), Kimberly Kontson (U.S. Food and Drug Administration), Rajesh Nair (FDA), Guangxing Wang

Digital health Convolutional Neural Network Parkinson's Disease Wearable Device Inertial Measurement Unit Time-series