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Division of Biostatistics and Health Data Science
Fall Semester, 2024
September 20 (11:00 am, University Office Plaza, UOP 2-254 Fishbowl Conf Rm, hybrid)
Topic: member introduction, team building, sharing survival or longitudinal studies that we have involved in, brainstorming on papers to read this semester and potential MS or PhD thesis topics.
Reference:
Kypriotakis et al. (2024). An Introduction and Practical Guide to Strategies for Analyzing Longitudinal Data in Clinical Trials of Smoking Cessation Treatment: Beyond Dichotomous Point-Prevalence Outcomes. Nicotine and Tobacco Research, 2024, 26, 796–805. doi: 10.1093/ntr/ntae005
October 4 (11:00 am, University Office Plaza, UOP 2-254 Fishbowl Conf Rm, in-person only)
Topic: Crash course on survival analysis. We will watch the lectures led by Professor Hastie and Professor Tibshirani from Stanford and answer questions during the lectures.
Reference:
Statistical Learning: 11.1 Introduction to Survival Data and Censoring (YouTube Link)
Statistical Learning: 11.2 Proportional Hazards Model (YouTube Link)
Statistical Learning: 11.3 Estimation of Cox Model with Examples (YouTube Link)
Statistical Learning: 11.4 Model Evaluation and Further Topics (YouTube Link)
October 18 (11:00 am, University Office Plaza, UOP 2-254 Fishbowl Conf Rm, hybrid)
Topic: we will watch an introduction talk about "Two-sample survival probability curves: A graphical approach for the analysis of time-to-event data in clinical trials" led by Professor Xianghua Luo.
Reference:
Castro-Pearson S, Le C, Luo X. (2022). Two-sample survival probability curves: A graphical approach for the analysis of time to event data in clinical trials. Contemporary Clinical Trials, 115:106707. DOI: 10.1016/j.cct.2022.106707
Castro-Pearson S, Sun Y, Le C, Luo X. Two-sample survival probability curves: a graphical method for survival data beyond right censoring. (to be submitted)
November 1 (11:00 am, University Office Plaza, UOP 2-254 Fishbowl Conf Rm, hybrid)
Topic: Our own Michelle Leeberg will give a presentation on her recently completed thesis paper, "Bayesian two-sample survival probability curves with comparative summary measures and sensitivity analyses", which is a continuation of the work by Castro-Pearson, Le, Luo (2022).
Reference:
Leeberg M, Murray T, Luo X. Bayesian two-sample survival probability curves with comparative summary measures and sensitivity analyses. (to be submitted)
Leeberg M, Luo X, Murray T. Restricted win probability with Bayesian estimation for implementing the estimand framework in clinical trials With a time-to-event outcome. arXiv:2411.02755
November 15 (canceled)
By canceling this meeting, we hope you are able to get some flexibility in your schedule and we encourage you to attend both BHDS faculty interview seminars next week! Monday (11/18) and Wednesday (11/20) 3-4 PM, UOP 2-240 Ballroom.
“Efficient Treatment Effect Estimation by Jointly Modeling Multiple Endpoints” by Jack Wolf, UMN.
"Nonparametric Approaches to Assessing Variable Importance Using Health Data" by Dr. Charles Wolock, UPenn.
Wolock CJ, Gilbert PB, Simon N, Carone M. Assessing variable importance in survival analysis using machine learning. Biometrika (2024). (preprint) (R package) (code)
Wolock CJ, Williamson BD, Shortreed SM, Simon GE; Coleman KJ, Yeargans R, Ahmedani BK, Daida Y, Lynch FL, Rossom RC, Ziebell RA, Cruz M, Wellman RD, Coley RY. Importance of variables from different time frames for predicting self-harm using health system data. Journal of Biomedical Informatics (in press).
December 6 (11:00 am, University Office Plaza, UOP 2-254 Fishbowl Conf Rm, in-person only)
End-of-semester social event: We will have a casual social hour with snacks provided - please join us for lunch or also bring in your favorite snacks if you like! Friends and families are welcome!
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