The 2023 Joint Statistical Meetings, which convene in Toronto this Saturday, August 5, are expected to bring together more than five thousand attendees from 52 countries, with the theme of "One Community: Informing Decisions and Driving Discovery." We are proud of the department members and alumni who will be sharing their work, networking with current and future collaborators, contributing to section and conference planning meetings, and participating in other research and professional service activities. This year's conference program includes the following:
Saturday, August 5–Sunday, August 6
Regression modeling strategies: two-day course taught by professor Frank Harrell.
Monday, August 7
The ubiquitous Other in biomedical research: Alternatives to simply pooling racial groups with small sample sizes: topic-contributed session with research assistant professor Lauren Samuels as a panelist. 8:30 a.m.
A two-stage least squares-based approach for assessing the role of engagement in text interventions: contributed speed presentation by PhD student Jamie Joseph. Co-authored by assistant professor Andrew Spieker. 8:30 a.m.
Robust Effect Size Index analysis using RESI R package: contributed speed presentation by PhD student Megan Jones. Co-authored by PhD student Kaidi Kang and assistant professor Simon Vandekar. 8:30 a.m.
Design and analysis strategies with "secondary" use data: topic-contributed paper presented by assistant professor Ran Tao. 8:55 a.m.
Longitudinal analysis of HIV antiretroviral therapy effects on weight gain: topic-contributed paper presented by assistant professor Andrew Spieker. Co-authored by biostatistician Tan Ding, biostatistician Caroline Birdrow, and professor Bryan Shepherd. 9:35 a.m.
Total, between- and within-cluster Spearman's rank correlations for clustered data: contributed paper presented by PhD student Shengxin Tu. Co-authored by Chun Li (University of Southern California) and professor Bryan Shepherd. 10:05 a.m.
Rosenbaum & Rubin’s Propensity Score: Impact, introspection and discussion 40 years later: invited session with alumna Lucy D'Agostino McGowan as a panelist. 10:30 a.m.
Application of closed-form gamma mixture model in mxIF cell gating: contributed paper presented by PhD student Jiangmei (Ruby) Xiong. Co-authored by Eliot McKinley (GSK), research associate professor of surgery Joseph Roland, research professor of medicine Martha Shrubsole, professor of cell and developmental biology and surgery Ken Lau, and assistant professor of biostatistics Simon Vandekar. 11:05 a.m.
Improving reproducibility in neuroimaging studies: contributed papers session chaired by assistant professor Simon Vandekar. 2:00 p.m.
Study features impacting replicability of brain-wide association studies: contributed paper presented by PhD student Kaidi Kang. Co-authored by Jakob Seidlitz (Penn), Richard Bethlehem (Cambridge), Aaron Alexander-Block (Penn), and Simon Vandekar. 3:05 p.m.
At the Teaching Statistics in Health Sciences mixer, alumna Lucy D'Agostino McGowan will receive their Young Investigator Award.
Tuesday, August 8
Overcoming microbial and experimental design compositionality to test model-free variable importance: contributed paper co-authored by assistant professor Siyuan Ma. 9:50 a.m.
Optimal multi-wave validation of secondary use data with outcome and exposure misclassification: David P. Byar Early Career Award presentation by alumna Sarah Lotspeich. Co-authored by Pamela Shaw (Kaiser Permanente), assistant professors Gustavo Amorim and Ran Tao, and professor Bryan Shepherd. 9:55 a.m.
Submodel approximation for risk prediction of a new patient with missing risk factors: contributed paper presented by PhD student Tianyi Sun. Co-authored by assistant professor of biomedical informatics Allison McCoy, associate professor of emergency medicine Alan Storrow, and associate professor of biostatistics Dandan Liu. 10:35 a.m.
Design and analysis of a multi-wave two-phase study that addresses data errors in a large observational HIV network: topic-contributed paper presented by professor Bryan Shepherd. 10:55 a.m.
Synergizing emerging methods for high-dimensional genomics and imaging data: topic-contributed paper session organized by assistant professor Jinyuan Liu and chaired by PhD student Kaidi Kang. 2:00 p.m.
A new paradigm for high-dimensional data: Distance-Based Semiparametric Ensembled (DBSE) framework for various diversity measures of microbiome composition: topic-contributed paper presented by assistant professor Jinyuan Liu. 2:05 p.m.
Probability-scale residuals for mixed-censored data: contributed paper co-authored by professor Bryan Shepherd. 2:35 p.m.
Wednesday, August 9
Statistical innovation in emerging fields of clinical research: Diversity, Equity and Inclusion (DEI); Learning Health System (LHS); Dissemination and Implementation Science (D&I): invited paper session organized by associate professor Dandan Liu and chaired by professor Qingxia (Cindy) Chen. 8:30 a.m.
Statistical methods to address challenges in implementing a EHR-based prediction model in emergency departments: invited paper presented by Dandan Liu. 9:50 a.m.
Thursday, August 10
Electronic Health Record capture and research use in the All of Us Research Program: invited paper presented by professor Qingxia (Cindy) Chen. Co-authored by Andrea Ramirez (NIH). 8:55 a.m.
For a guide to JSM presentation types, see their sessions guidelines. ...And, if you're a Vanderbilt trainee, staff, or faculty member, consider preparing a submission for JSM 2024, in Portland, Oregon. Proposals for invited talks are due September 7, short courses by September 30, topic-contributed proposals by December 7, computer tech workshops by January 15, and contributed papers by February 1. The theme for 2024 is "Statistics and Data Science: Informing Policy and Countering Misinformation." Also, JSM 2025 will be in Nashville, from August 2 through 7, as will the Institute of Mathematical Statistics' New Researchers Conference.