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20102022
most citedIdentification, Inference and Sensitivity Analysis for Causal Mediation Effects

1.6k citations · 1.6k across the 7 of their papers we have counts for

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6 papers · 1 filter

stat.AP2020

Hospital Quality Risk Standardization via Approximate Balancing Weights

Luke Keele, Eli Ben-Michael, Avi Feller +2

Comparing outcomes across hospitals, often to identify underperforming hospitals, is a critical task in health services research. However, naive comparisons of average outcomes, su…

stat.AP20202 cited

Protocol for a Study of the Effect of Surface Mining in Central Appalachia on Adverse Birth Outcomes

Dylan S. Small, Dan Firth, Luke Keele +4

Surface mining has become a major method of coal mining in Central Appalachia alongside the traditional underground mining. Concerns have been raised about the health effects of th…

stat.AP2020

Comparing the Performance of Statistical Adjustment Methods By Recovering the Experimental Benchmark from the REFLUX Trial

Luke Keele, Stephen O'Neill, Richard Grieve

Much evidence in comparative effectiveness research is based on observational studies. Researchers who conduct observational studies typically assume that there are no unobservable…

stat.AP2019

Biased Encouragements and Heterogeneous Effects in an Instrumental Variable Study of Emergency General Surgical Outcomes

Colin B. Fogarty, Kwonsang Lee, Rachel R. Kelz +1

We investigate the efficacy of surgical versus non-surgical management for two gastrointestinal conditions, colitis and diverticulitis, using observational data. We deploy an instr…

stat.AP201911 cited

Patterns of Effects and Sensitivity Analysis for Differences-in-Differences

Luke J. Keele, Dylan S. Small, Jesse Y. Hsu +1

Applied analysts often use the differences-in-differences (DID) method to estimate the causal effect of policy interventions with observational data. The method is widely used, as…

stat.AP2018

Comparing Covariate Prioritization via Matching to Machine Learning Methods for Causal Inference using Five Empirical Applications

Luke Keele, Dylan Small

When investigators seek to estimate causal effects, they often assume that selection into treatment is based only on observed covariates. Under this identification strategy, analys…