3 citations · 3 across the 2 of their papers we have counts for
2 papers
stat.ME2017★ 3 cited
Bayesian nonparametric generative models for causal inference with missing at random covariates
Jason Roy, Kirsten J Lum, Michael J. Daniels +3
We propose a general Bayesian nonparametric (BNP) approach to causal inference in the point treatment setting. The joint distribution of the observed data (outcome, treatment, and…
stat.ME2015
Comparing Biomarkers as Trial Level General Surrogates
Erin E. Gabriel, Michael J. Daniels, M. Elizabeth Halloran
An intermediate response measure that accurately predicts efficacy in a new setting can reduce trial cost and time to product licensure. In this paper, we define a trial level gene…