131 citations · 352 across the 94 of their papers we have counts for
6 papers · 1 filter
Multiply robust estimators in longitudinal studies with missing data under control-based imputation
Siyi Liu, Shu Yang, Yilong Zhang +2
Longitudinal studies are often subject to missing data. The ICH E9(R1) addendum addresses the importance of defining a treatment effect estimand with the consideration of intercurr…
Transfer learning of individualized treatment rules from experimental to real-world data
Lili Wu, Shu Yang
Individualized treatment effect lies at the heart of precision medicine. Interpretable individualized treatment rules (ITRs) are desirable for clinicians or policymakers due to the…
Outcome-Adjusted Balance Measure for Generalized Propensity Score Model Selection
Honghe Zhao, Shu Yang
In this article, we propose the outcome-adjusted balance measure to perform model selection for the generalized propensity score (GPS), which serves as an essential component in es…
Estimating intervention effects on infectious disease control: the effect of community mobility reduction on Coronavirus spread
Andrew Giffin, Wenlong Gong, Suman Majumder +3
Understanding the effects of interventions, such as restrictions on community and large group gatherings, is critical to controlling the spread of COVID-19. Susceptible-Infectious-…
Estimation of Partially Conditional Average Treatment Effect by Hybrid Kernel-covariate Balancing
Jiayi Wang, Raymond K. W. Wong, Shu Yang +1
We study nonparametric estimation for the partially conditional average treatment effect, defined as the treatment effect function over an interested subset of confounders. We prop…
Instrumental variables, spatial confounding and interference
Andrew Giffin, Brian J. Reich, Shu Yang +1
Unobserved spatial confounding variables are prevalent in environmental and ecological applications where the system under study is complex and the data are often observational. In…