research
∙
07/31/2023
Single Proxy Synthetic Control
Synthetic control methods are widely used to estimate the treatment effe...
share
research
∙
02/24/2023
Personalized Two-sided Dose Interval
In many clinical practices, the goal of medical interventions or therapi...
research
∙
02/13/2023
Single Proxy Control
Negative control variables are sometimes used in non-experimental studie...
research
∙
02/02/2023
Universal Difference-in-Differences for Causal Inference in Epidemiology
Difference-in-differences is without a doubt the most widely used method...
research
∙
12/27/2022
Universal Difference-in-Differences
Difference-in-differences (DiD) is a popular method to evaluate causal e...
research
∙
10/13/2022
Model-robust and efficient inference for cluster-randomized experiments
Cluster-randomized experiments are increasingly used to evaluate interve...
research
∙
08/13/2022
Propensity Score Modeling: Key Challenges When Moving Beyond the No-Interference Assumption
The paper presents some models for the propensity score. Considerable at...
research
∙
11/18/2021
Optimal Allocation of Water and Sanitation Facilities To Prevent Communicable Diarrheal Diseases in Senegal Under Partial Interference
For several decades, Senegal has faced inadequate water, sanitation, and...
research
∙
10/14/2021
More Efficient, Doubly Robust, Nonparametric Estimators of Treatment Effects in Multilevel Studies
When studying treatment effects in multilevel studies, investigators com...
research
∙
12/27/2020
Assumption-Lean Analysis of Cluster Randomized Trials in Infectious Diseases for Intent-to-Treat Effects and Spillover Effects Among A Vulnerable Subpopulation
Cluster randomized trials (CRTs) are a popular design to study the effec...
research
∙
04/19/2020
Efficient Semiparametric Estimation of Network Treatment Effects Under Partial Interference
There has been growing interest in causal inference to study treatment e...
research
∙
08/12/2019