313 citations · 357 across the 10 of their papers we have counts for
7 papers · 1 filter
Monotone function estimation in the presence of extreme data coarsening: Analysis of preeclampsia and birth weight in urban Uganda
Jennifer E. Starling, Catherine E. Aiken, Jared S. Murray +2
This paper proposes a Bayesian hierarchical model to characterize the relationship between birth weight and maternal pre-eclampsia across gestation at a large maternity hospital in…
Assessing Treatment Effect Variation in Observational Studies: Results from a Data Challenge
Carlos Carvalho, Avi Feller, Jared Murray +2
A growing number of methods aim to assess the challenging question of treatment effect variation in observational studies. This special section of "Observational Studies" reports t…
A Bayesian Hierarchical Model for Evaluating Forensic Footwear Evidence
Neil A. Spencer, Jared S. Murray
When a latent shoeprint is discovered at a crime scene, forensic analysts inspect it for distinctive patterns of wear such as scratches and holes (known as accidentals) on the sour…
Atlantic Causal Inference Conference (ACIC) Data Analysis Challenge 2017
P. Richard Hahn, Vincent Dorie, Jared S. Murray
This brief note documents the data generating processes used in the 2017 Data Analysis Challenge associated with the Atlantic Causal Inference Conference (ACIC). The focus of the c…
Targeted Smooth Bayesian Causal Forests: An analysis of heterogeneous treatment effects for simultaneous versus interval medical abortion regimens over gestation
Jennifer E. Starling, Jared S. Murray, Patricia A. Lohr +3
We introduce Targeted Smooth Bayesian Causal Forests (tsBCF), a nonparametric Bayesian approach for estimating heterogeneous treatment effects which vary smoothly over a single cov…
Model interpretation through lower-dimensional posterior summarization
Spencer Woody, Carlos M. Carvalho, Jared S. Murray
Nonparametric regression models have recently surged in their power and popularity, accompanying the trend of increasing dataset size and complexity. While these models have proven…