932 citations · 940 across the 7 of their papers we have counts for
8 papers
Longitudinal weighted and trimmed treatment effects with flip interventions
Alec McClean, Alexander W. Levis, Nicholas Williams +1
Weighting and trimming are popular methods for addressing positivity violations in causal inference. While well-studied with single-timepoint data, standard methods do not easily g…
Stochastic interventions, sensitivity analysis, and optimal transport
Alexander W. Levis, Edward H. Kennedy, Alec McClean +2
Recent methodological research in causal inference has focused on effects of stochastic interventions, which assign treatment randomly, often according to subject-specific covariat…
Intervention effects based on potential benefit
Alexander W. Levis, Eli Ben-Michael, Edward H. Kennedy
Optimal treatment rules are mappings from individual patient characteristics to tailored treatment assignments that maximize mean outcomes. In this work, we introduce a conditional…
Nonparametric identification and efficient estimation of causal effects with instrumental variables
Alexander W. Levis, Edward H. Kennedy, Luke Keele
Instrumental variables are widely used in econometrics and epidemiology for identifying and estimating causal effects when an exposure of interest is confounded by unmeasured facto…
Doubly robust machine learning for an instrumental variable study of surgical care for cholecystitis
Kenta Takatsu, Alexander W. Levis, Edward Kennedy +2
Comparative effectiveness research frequently employs the instrumental variable design since randomized trials can be infeasible for many reasons. In this study, we investigate and…
Covariate-assisted bounds on causal effects with instrumental variables
Alexander W. Levis, Matteo Bonvini, Zhenghao Zeng +2
When an exposure of interest is confounded by unmeasured factors, an instrumental variable (IV) can be used to identify and estimate certain causal contrasts. Identification of the…
Double sampling for informatively missing data in electronic health record-based comparative effectiveness research
Alexander W. Levis, Rajarshi Mukherjee, Rui Wang +2
Missing data arise in most applied settings and are ubiquitous in electronic health records (EHR). When data are missing not at random (MNAR) with respect to measured covariates, s…
Estimating the sample mean and standard deviation from commonly reported quantiles in meta-analysis
Sean McGrath, XiaoFei Zhao, Russell Steele +4
Researchers increasingly use meta-analysis to synthesize the results of several studies in order to estimate a common effect. When the outcome variable is continuous, standard meta…