17 citations · 24 across the 10 of their papers we have counts for
10 papers
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…
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…
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…
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…
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…
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…
Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap
Qingyuan Zhao, Dylan S. Small, Bhaswar B. Bhattacharya
To identify the estimand in missing data problems and observational studies, it is common to base the statistical estimation on the "missing at random" and "no unmeasured confounde…
Discovering Effect Modification in an Observational Study of Surgical Mortality at Hospitals with Superior Nursing
Kwonsang Lee, Dylan S. Small, Jesse Y. Hsu +2
There is effect modification if the magnitude or stability of a treatment effect varies systematically with the level of an observed covariate. A larger or more stable treatment ef…
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…
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…