4 citations · 6 across the 3 of their papers we have counts for
10 papers
Semiparametric Efficient Dimension Reduction in multivariate regression with an Inner Envelope
Linquan Ma, Hyunseung Kang, Lan Liu
Recently, Su and Cook proposed a dimension reduction technique called the inner envelope which can be substantially more efficient than the original envelope or existing dimension…
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…
Two Robust Tools for Inference about Causal Effects with Invalid Instruments
Hyunseung Kang, Youjin Lee, T. Tony Cai +1
Instrumental variables have been widely used to estimate the causal effect of a treatment on an outcome. Existing confidence intervals for causal effects based on instrumental vari…
Inferring Treatment Effects After Testing Instrument Strength in Linear Models
Nan Bi, Hyunseung Kang, Jonathan Taylor
A common practice in IV studies is to check for instrument strength, i.e. its association to the treatment, with an F-test from regression. If the F-statistic is above some thresho…
ivmodel: An R Package for Inference and Sensitivity Analysis of Instrumental Variables Models with One Endogenous Variable
Hyunseung Kang, Yang Jiang, Qingyuan Zhao +1
We present a comprehensive R software ivmodel for analyzing instrumental variables with one endogenous variable. The package implements a general class of estimators called k- clas…
Inference After Selecting Plausibly Valid Instruments with Application to Mendelian Randomization
Nan Bi, Hyunseung Kang, Jonathan Taylor
Mendelian randomization (MR) is a popular method in genetic epidemiology to estimate the effect of an exposure on an outcome by using genetic instruments. These instruments are oft…