4 papers · 1 filter
Bayesian variable selection in hierarchical difference-in-differences models
James Normington, Eric F. Lock, Thomas A. Murray +1
A popular method for estimating a causal treatment effect with observational data is the difference-in-differences (DiD) model. In this work, we consider an extension of the classi…
A Pan-Cancer and Polygenic Bayesian Hierarchical Model for the Effect of Somatic Mutations on Survival
Sarah Samorodnitsky, Katherine A. Hoadley, Eric F. Lock
We built a novel Bayesian hierarchical survival model based on the somatic mutation profile of patients across 50 genes and 27 cancer types. The pan-cancer quality allows for the m…
Integrative Factorization of Bidimensionally Linked Matrices
Jun Young Park, Eric F. Lock
Advances in molecular "omics'" technologies have motivated new methodology for the integration of multiple sources of high-content biomedical data. However, most statistical method…
Bayesian nonparametric multiway regression for clustered binomial data
Eric F. Lock, Dipankar Bandyopadhyay
We introduce a Bayesian nonparametric regression model for data with multiway (tensor) structure, motivated by an application to periodontal disease (PD) data. Our outcome is the n…