Department of Biostatistics Seminars | Department of Biostatistics

This is a demo page. The 2024-25 seminar page will be available soon. For the complete list of 2023-24 seminars, see the department wiki.

The department hosts seminars by visiting experts on biostatistical topics most weeks during the school year. Seminars are from 1:30 to 2:30 p.m. Central Time unless otherwise noted. Upcoming presentations include "Innovative applications of hidden Markov models in cancer epidemiology and genetics" (Paul Albert, National Cancer Institute) on May 1, and "Two applications from one theoretical property" (Norman Matloff, University of California, Davis) on June 12.

If you have questions about seminar programming, contact Panpan Zhang. For location information, access to Zoom links, or to be added to our seminar announcements listserv, contact Cierra Streeter.

Spring 2024 seminars

Date	Title	Presenter	Location
January 10	Fighting noise with noise: Causal inference with many candidate instruments	Dehan Kong	Virtual
January 12	Dynamic risk assessment by landmark modeling of the restricted mean survival time	Yuan Zhang	Virtual
January 17	Knowledge-guided machine learning for time-to-event outcomes and longitudinal predictors, with application to the Coronary Artery Risk Development in Young Adults study	Colin O. Wu	Virtual
January 18 2:30 p.m.	Cox models with auxiliary outcomes, left truncation, and complex censoring	Yidan Shi	Virtual
January 24	Time-aware analyses for critical care electronic health records	Anru Zhang	Hybrid (joint seminar)
January 31	Can AI deliver on its promise for improving public health? Challenges in the clinical trial setting	Manisha Desai	Virtual
February 7	The paradoxes, perplexities, and power of factor analysis	Tyler VanderWeele	Virtual
February 9	Between- and within-cluster Spearman rank correlations	Shengxin Tu	Hybrid
February 14	PAM-HC: A Bayesian nonparametric construction of hybrid control for randomized clinical trials using external data	Yuan Ji	Virtual
February 16	Statistical innovations using real world data for health system performance assessment	Jiayi "Jessie" Tong	Virtual
February 21	Regression frameworks for brain network distance metrics	Sean L. Simpson	Virtual
February 28	Analyzing functional brain network changes from childhood to old age: A study using HCP-D, HCP-YA, and HCP-A datasets	Tingting Zhang	Virtual
March 6 12:30 p.m.	LLMs and active learning for mRNA vaccine optimization	Ziv Bar-Joseph	Virtual
March 20	Meta-learners to analyze treatment heterogeneity in survival data: Application to pediatric asthma care under COVID-19 disruption	Ying Ding	Virtual
March 27	Pooling data from individual clinical trials in the COVID-19 era	Andrea Troxel	Virtual
April 3	Faculty Lightning Talks	Department faculty	Virtual
April 5 1:00 p.m.	The survival-incorporated median: A summary measure for clinical outcomes in the presence of death	Qingyan Xiang	Hybrid
April 10	Addressing known and unknown batch effects in microbiome sequencing studies	Ni Zhao	Virtual
April 17	Learning optimal dynamic treatment regimes under risk constraints	Donglin Zeng	Virtual
April 24	A general framework for brain network extraction from fMRI data with repeated measurements	Joshua Lukemire	Virtual
May 1	Innovative applications of hidden Markov models in cancer epidemiology and genetics	Paul Albert	Virtual
June 12	Two applications from one theoretical property	Norman Matloff	Hybrid