Advanced Statistical and Machine Learning Methods for Complex Biomedical and Behavioral Data

Wed, Aug 5, 2:00 PM - 3:50 PM Room CC-103 Thomas M. Menino Convention & Exhibition Center

Mohammed QuaziChair

Section on Teaching of Statistics in the Health Sciences

7 Presentations

Competing-Risk Analysis of Surgery and Radiation Sequencing in Prostate Cancer

2:05 PM - 2:20 PM

Morshed Alam (Merck)

Co-authors: Md Roungu Ahmmad (University of Southern Mississippi), Md Mahir Ahnaf (West Windsor Plainsboro High School South), Xiaoli Zhang (The Ohio State University)

Therapy sequencing surgery and radiation prostate cancer–specific mortality competing risk

Emulated FPE order identification for autoregressive models of big multivariate time series

2:20 PM - 2:35 PM

Brian Wu (Xavier University)

Big time series data Order identification Autoregressive models (AR)Final prediction error (FPE)Kriging Emulator-based optimization

Identification of a constipation phenotype using electronic health records and machine learning

2:35 PM - 2:50 PM

Jennifer Reneker (Northeast Ohio Medical Univ.)

Co-authors: Philip Turk (Northeast Ohio Medical University)

Electronic health records Semi-supervised learning Bayesian logistic regression Latent clinical phenotype classifier

Inter-rater reliability of statistics from reconstructed data from published Kaplan-Meier curves

2:50 PM - 3:05 PM

Lynette Smith (University of Nebraska Medical Center)

Co-authors: Megan Smith (University of Nebraska Medical Center), Charlie Soh (University of Nebraska Medical Center), Christopher Wichman (University of Nebraska Medical Center)

meta-analysis inter-rater reliability Kaplan-Meier curves clinical trials

Multiple-Response Function-on-Function Regression for Minecraft 3D Navigation and Memory

3:05 PM - 3:20 PM

Jizhi Zhang (UC Irvine)

Co-authors: Weining Shen (University of California, Irvine), Zhaoxia Yu (University of California, Irvine), Ana Kenney (UC Irvine)

Functional data analysis Function-on-function regression Spatial navigation

Validation of AI-Based Breast Cancer Risk Prediction Models in a Multi-Ancestry Veteran Population

3:20 PM - 3:35 PM

Jessica Minnier (Oregon Health & Science University)

Co-authors: Shauna Rakshe (Oregon Health & Science University), Lina Gao (Oregon Health and Science University), Shiuh-Wen Luoh (Oregon Health & Science University, Portland VA)

artificial intelligence risk prediction validation health disparities AI screening

What Do Remediating Examinees, American Robins and Metropolitan Temperatures Have in Common?

3:35 PM - 3:50 PM

Richard Feinberg (National Board of Medical Examiners)

Co-authors: Nathan Feinberg (Cherry Hill East High School Student)

Simpsons paradox mediating variables