4 papers · 1 filter
Sliced Distributional Balancing
Haoran Zhang, Guanhua Chen, Chan Park
A popular class of causal inference methods addresses confounding through weighting, which reweights treated and control groups to balance their covariate distributions without usi…
The Multiplicative Quasi-Instrumental Variable Model
Jiewen Liu, Chan Park, David Richardson +1
We introduce the Multiplicative Quasi-Instrumental Variable (MQIV) model, a framework for causal inference with unmeasured confounding that leverages an instrument that may be impe…
Single Proxy Synthetic Control
Chan Park, Eric Tchetgen Tchetgen
Synthetic control methods are widely used to estimate the treatment effect on a single treated unit in time-series settings. A common approach to estimate synthetic control weights…
Assumption-Lean Analysis of Cluster Randomized Trials in Infectious Diseases for Intent-to-Treat Effects and Network Effects
Chan Park, Hyunseung Kang
Cluster randomized trials (CRTs) are a popular design to study the effect of interventions in infectious disease settings. However, standard analysis of CRTs primarily relies on st…