activity
20132026
most citedControl Function Instrumental Variable Estimation of Nonlinear Causal Effect Models

45 citations · 111 across the 31 of their papers we have counts for

collaborators
Showing 2016Show all

7 papers · 1 filter

math.ST2016

Testing Endogeneity with High Dimensional Covariates

Zijian Guo, Hyunseung Kang, T. Tony Cai +1

Modern, high dimensional data has renewed investigation on instrumental variables (IV) analysis, primarily focusing on estimation of effects of endogenous variables and putting lit…

stat.ME2016★ 3 cited

Optimal Estimation of Co-heritability in High-dimensional Linear Models

Zijian Guo, Wanjie Wang, T. Tony Cai +1

Co-heritability is an important concept that characterizes the genetic associations within pairs of quantitative traits. There has been significant recent interest in estimating th…

math.ST2016★ 14 cited

Confidence Intervals for Causal Effects with Invalid Instruments using Two-Stage Hard Thresholding with Voting

Zijian Guo, Hyunseung Kang, T. Tony Cai +1

A major challenge in instrumental variables (IV) analysis is to find instruments that are valid, or have no direct effect on the outcome and are ignorable. Typically one is unsure…

math.ST2016★ 6 cited

Accuracy Assessment for High-dimensional Linear Regression

T. Tony Cai, Zijian Guo

This paper considers point and interval estimation of the loss of an estimator in high-dimensional linear regression with random design. We establish the minimax rate for…

stat.ME2016★ 45 cited

Control Function Instrumental Variable Estimation of Nonlinear Causal Effect Models

Zijian Guo, Dylan Small

The instrumental variable method consistently estimates the effect of a treatment when there is unmeasured confounding and a valid instrumental variable. A valid instrumental varia…

stat.ME2016

Using an Instrumental Variable to Test for Unmeasured Confounding

Zijian Guo, Jing Cheng, Scott A. Lorch +1

An important concern in an observational study is whether or not there is unmeasured confounding, i.e., unmeasured ways in which the treatment and control groups differ before trea…

stat.ME2016

Mediation Analysis for Count and Zero-Inflated Count Data without Sequential Ignorability and Its Application in Dental Studies

Zijian Guo, Dylan S. Small, Stuart A. Gansky +1

Mediation analysis seeks to understand the mechanism by which a treatment affects an outcome. Count or zero-inflated count outcome are common in many studies in which mediation ana…