Doubly robust estimation of the local average treatment effect curve
نویسندگان
چکیده
منابع مشابه
Doubly robust estimation of the local average treatment effect curve.
We consider estimation of the causal effect of a binary treatment on an outcome, conditionally on covariates, from observational studies or natural experiments in which there is a binary instrument for treatment. We describe a doubly robust, locally efficient estimator of the parameters indexing a model for the local average treatment effect conditionally on covariates V when randomization of t...
متن کاملLocal Polynomial Wavelet Estimation of Local Average Treatment Effect∗
In this paper, we introduce a new class of estimators of jump size in a nonparametric regression model and apply it to the estimation of local average treatment effect (LATE). We refer members of this class as local polynomial wavelet estimators and show that all the existing estimators, including estimators constructed from differencing two nonparametric estimates and partial linear estimators...
متن کاملStratified doubly robust estimators for the average causal effect.
Suppose we are interested in estimating the average causal effect from an observational study. A doubly robust estimator, which is a hybrid of the outcome regression and propensity score weighting, is more robust than estimators obtained by either of them in the sense that, if at least one of the two models holds, the doubly robust estimator is consistent. However, a doubly robust estimator may...
متن کاملDoubly Robust Estimation of Optimal Dynamic Treatment Regimes
We compare methods for estimating optimal dynamic decision rules from observational data, with particular focus on estimating the regret functions defined by Murphy (in J. R. Stat. Soc., Ser. B, Stat. Methodol. 65:331-355, 2003). We formulate a doubly robust version of the regret-regression approach of Almirall et al. (in Biometrics 66:131-139, 2010) and Henderson et al. (in Biometrics 66:1192-...
متن کاملApproaches to the Estimation of the Local Average Treatment Effect in a Regression Discontinuity Design
Regression discontinuity designs (RD designs) are used as a method for causal inference from observational data, where the decision to apply an intervention is made according to a 'decision rule' that is linked to some continuous variable. Such designs are being increasingly developed in medicine. The local average treatment effect (LATE) has been established as an estimator of the intervention...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Royal Statistical Society: Series B (Statistical Methodology)
سال: 2014
ISSN: 1369-7412
DOI: 10.1111/rssb.12078