115 citations · 203 across the 6 of their papers we have counts for
6 papers
Matching calipers and the precision of index estimation
Ben B. Hansen
This paper characterizes the precision of index estimation as it carries over into precision of matching. In a model assuming Gaussian covariates and making best-case assumptions a…
An Aggregation Scheme for Increased Power
Timothy Lycurgus, Ben B. Hansen
We present an aggregation scheme that increases power in randomized controlled trials and quasi-experiments when the intervention possesses a robust and well-articulated theory of…
Rebar: Reinforcing a Matching Estimator with Predictions from High-Dimensional Covariates
Adam C Sales, Ben B Hansen, Brian Rowan
In causal matching designs, some control subjects are often left unmatched, and some covariates are often left unmodeled. This article introduces "rebar," a method using high-dimen…
Limitless Regression Discontinuity
Adam C. Sales, Ben B. Hansen
Conventionally, regression discontinuity analysis contrasts a univariate regression's limits as its independent variable, , approaches a cut-point, , from either side. Altern…
The sensitivity of linear regression coefficients' confidence limits to the omission of a confounder
Carrie A. Hosman, Ben B. Hansen, Paul W. Holland
Omitted variable bias can affect treatment effect estimates obtained from observational data due to the lack of random assignment to treatment groups. Sensitivity analyses adjust t…
Covariate Balance in Simple, Stratified and Clustered Comparative Studies
Ben B. Hansen, Jake Bowers
In randomized experiments, treatment and control groups should be roughly the same--balanced--in their distributions of pretreatment variables. But how nearly so? Can descriptive c…