activity
20162022
most citedSensitivity analysis for inverse probability weighting estimators via the percentile bootstrap

17 citations · 24 across the 10 of their papers we have counts for

collaborators

10 papers

stat.AP2022

Pre-analysis protocol for an observational study on the effects of adolescent sports participation on health in early adulthood

Ajinkya H Kokandakar, Yuzhou Lin, Steven Jin +5

We will study the impact of adolescent sports participation on early-adulthood health using longitudinal data from the National Study of Youth and Religion. We focus on two primary…

stat.AP2022

Protocol for an Observational Study on the Effects of Giving Births from Unintended Pregnancies on Later Life Physical and Mental Health

Samrat Roy, Marina Bogomolov, Ruth Heller +3

There has been increasing interest in studying the effect of giving births to unintended pregnancies on later life physical and mental health. In this article, we provide the proto…

stat.ME2022

Using Case Description Information to Reduce Sensitivity to Bias for the Attributable Fraction Among the Exposed

Kan Chen, Jing Cheng, M. Elizabeth Halloran +1

The attributable fraction among the exposed (\textbf{AF}), also known as the attributable risk or excess fraction among the exposed, is the proportion of disease cases among th…

stat.ME2020★ 2 cited

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…

stat.ME2019★ 2 cited

Increasing Power for Observational Studies of Aberrant Response: An Adaptive Approach

Siyu Heng, Hyunseung Kang, Dylan S. Small +1

In many observational studies, the interest is in the effect of treatment on bad, aberrant outcomes rather than the average outcome. For such settings, the traditional approach is…

stat.ME2018★ 2 cited

A calibrated sensitivity analysis for matched observational studies with application to the effect of second-hand smoke exposure on blood lead levels in U.S. children

Bo Zhang, Dylan Small

Matched observational studies are commonly used to study treatment effects in non-randomized data. After matching for observed confounders, there could remain bias from unobserved…