作者
Evan TR Rosenman, Guillaume Basse, Art B Owen, Mike Baiocchi
发表日期
2023/12
期刊
Biometrics
卷号
79
期号
4
页码范围
2961-2973
简介
We consider the problem of combining data from observational and experimental sources to draw causal conclusions. To derive combined estimators with desirable properties, we extend results from the Stein shrinkage literature. Our contributions are threefold. First, we propose a generic procedure for deriving shrinkage estimators in this setting, making use of a generalized unbiased risk estimate. Second, we develop two new estimators, prove finite sample conditions under which they have lower risk than an estimator using only experimental data, and show that each achieves a notion of asymptotic optimality. Third, we draw connections between our approach and results in sensitivity analysis, including proposing a method for evaluating the feasibility of our estimators.
学术搜索中的文章
ETR Rosenman, G Basse, AB Owen, M Baiocchi - Biometrics, 2023