3 papers
stat.ME2025
Adaptive Proximal Causal Inference with Some Invalid Proxies
Prabrisha Rakshit, Xu Shi, Eric Tchetgen Tchetgen
Proximal causal inference (PCI) is a recently proposed framework to identify and estimate the causal effect of an exposure on an outcome in the presence of hidden confounders, usin…
stat.ME2024
Statistical Inference in High-dimensional Poisson Regression with Applications to Mediation Analysis
Prabrisha Rakshit, Zijian Guo
Large-scale datasets with count outcome variables are widely present in various applications, and the Poisson regression model is among the most popular models for handling count o…
stat.ME2024
Local Effects of Continuous Instruments without Positivity
Prabrisha Rakshit, Alexander Levis, Luke Keele
Instrumental variables are a popular study design for the estimation of treatment effects in the presence of unobserved confounders. In the canonical instrumental variables design,…