Schedule

Regular meeting time: Every other Thursday 4:00 - 5:00 pm, Skylab Conference Room (UOP 3-351) or online  (with possible different day/time/place for webinars/invited talks)

Jan 29, Thursday (10:00 - 11:00 AM [note a different time than our regular meetings], UOP 3-351 Skylab)

Watch webinar, "Design and Analytic Considerations for Time-to-Event Outcomes in Cluster Randomized Clinical Trials" by Denise Esserman, Ph.D. (Want to watch yourself? Register yourself)

Abstract: How to handle censoring and the need to consider competing/semicompeting risks already increases the complexity of designing clinical trials with time-to-event outcomes. Additional complexity is added when using a time-to-event outcome in a cluster randomized trial because the correlation between individuals within a cluster also needs to be considered. Using the Strategies to Reduce Injuries and Develop Confidence in Elders (STRIDE) trial, a cluster randomized trial with the primary outcome of time to first serious fall injury, as a motivating example, this talk will discuss considerations in the design and analysis of cluster randomized trials with time-to-event outcomes in the presence of censoring and competing/semicompeting risks. It will discuss the methods available for clustered time-to-event data and weigh the pros and cons of those methods under varying design considerations. This talk will conclude by outlining gaps in knowledge that still exist.

Feb 13, Friday (10:00 - 11:00 AM, UOP Fishbowl Conference Room [note a different day, time and place than our regular meetings])

Watching webinar, "SPLasso for High-dimensional Additive Hazards Regression with Covariate Measurement Error" by Speaker: Jinfeng Xu, PhD, Associate Professor, City University of Hong Kong; Discussant: Grace Y. Yi, Professor, University of Western Ontario

Mar 6, Friday (11 AM-12 PM, UOP 217 Statdale Conference Room or Zoom [note a different day, time and place than our regular meetings])

Presenter: Dr. Tianmeng Lyu

Topic: Restricted mean survival time (RMST) estimation in a clinical trial with a composite endpoint of an interval-censored event (e.g., progression) and right-censored death, benefits by converting the composite endpoint to interval censoring. 

Reference:  Gao et al. (2025), RMST for Interval-Censored Data in Oncology Clinical Trials

Mar 19, Thursday: (4-5 PM, virtual over Zoom only)

Topic: Roundtable about interesting topics at ENAR 2026, from survival analysis, longitudinal analysis, competing risks, and more related sections. 

Discussion Leader: Our division's Ph.D. candidates, Nitya Shah and Han Lu

Apr 2, Thursday (4-5 PM, UOP 3-351 Skylab Conference Room, or remote over Zoom)

Presenter: Noppawee (Nate) Apichonpongpan

Topic (tentative): Our division's master student, Nate, will present on discrete survival and survival prediction models. 

Apr 16, Thursday: TBA

Apr 30, Thursday: TBA