- Location
- Health Sciences Building, 155 College Street
- Series/Type
- Alumni Event, Biostatistics Seminar, DLSPH Event, Faculty/Staff Event, Student Event
- Format
- In-Person
- Dates
- October 9, 2025 from 12:10pm to 1:00pm
The Biostatistics Seminar Series presents:
“Variable Selection in the Joint Frailty Model of Recurrent and Terminal Events Using Broken Adaptive Ridge Regression” by Dr. Xuewen Lu, University of Calgary
Abstract: We introduce a novel method to simultaneously perform variable selection and estimation in the joint frailty model of recurrent and terminal events using the Broken Adaptive Ridge Regression penalty. The BAR penalty can be summarized as an iteratively reweighted squared L2-penalized regression, which approximates the L0-regularization method. Our method allows for the number of covariates to diverge with the sample size. Under certain regularity conditions, we prove that the BAR estimator implemented under the model framework is consistent and asymptotically normally distributed, which are known as the oracle properties in the variable selection literature. In our simulation studies, we show that our proposed method outperforms the Minimum Information Criterion (MIC) method and other competitors. We apply our method on the Medical Information Mart for Intensive Care (MIMIC-III) database, with the aim of investigating which variables affect the risks of repeated ICU admissions and death during ICU stay.
For Dr. Lu’s biosketch, please see https://profiles.ucalgary.ca/xuewen-lu
All are welcome!