research
∙
09/14/2023
Addressing selection bias in cluster randomized experiments via weighting
In cluster randomized experiments, units are often recruited after the r...
share
research
∙
03/14/2023
Spatial causal inference in the presence of unmeasured confounding and interference
Causal inference in spatial settings is met with unique challenges and o...
research
∙
11/29/2022
Bayesian inference for aggregated Hawkes processes
The Hawkes process, a self-exciting point process, has a wide range of a...
research
∙
07/16/2021
Clarifying Selection Bias in Cluster Randomized Trials: Estimands and Estimation
In cluster randomized trials, patients are recruited after clusters are ...
research
∙
07/04/2021
Discussion of the manuscript: Spatial+ a novel approach to spatial confounding
I congratulate Dupont, Wood and Augustin (DWA hereon) for providing an e...
research
∙
03/09/2021
Covariate-informed latent interaction models: Addressing geographic taxonomic bias in predicting bird-plant interactions
Climate change and reductions in natural habitats necessitate that we be...
research
∙
10/05/2020
Propensity Score Weighting for Causal Subgroup Analysis
A common goal in comparative effectiveness research is to estimate treat...
research
∙
03/30/2020
Causal Inference with Spatio-temporal Data: Estimating the Effects of Airstrikes on Insurgent Violence in Iraq
Although many causal processes have spatial and temporal dimensions, the...
research
∙
10/21/2019
Soft Tensor Regression
Statistical methods relating tensor predictors to scalar outcomes in a r...
research
∙
07/28/2019
Mitigating unobserved spatial confounding bias with mixed models
Confounding by unmeasured spatial variables has received some attention ...
research
∙
09/13/2018
Causal Impact of the Hospital Readmissions Reduction Program on Hospital Readmissions and Mortality
Estimating causal effects of the Hospital Readmissions Reduction Program...
research
∙
07/23/2018
Bipartite Causal Inference with Interference
Statistical methods to evaluate the effectiveness of interventions are i...
research
∙
06/04/2018
A Causal Exposure Response Function with Local Adjustment for Confounding
In the last two decades, ambient levels of air pollution have declined s...
research
∙
11/03/2017
