Robust estimation of causal effects via a high-dimensional covariate balancing propensity score
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Robust estimation of causal effects via a high-dimensional covariate balancing propensity score
Authors
Keywords
-
Journal
BIOMETRIKA
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2020-03-06
DOI
10.1093/biomet/asaa020
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Covariate balancing propensity score by tailored loss functions
- (2019) Qingyuan Zhao ANNALS OF STATISTICS
- Covariate balancing propensity score for a continuous treatment: Application to the efficacy of political advertisements
- (2018) Christian Fong et al. Annals of Applied Statistics
- Double/debiased machine learning for treatment and structural parameters
- (2018) Victor Chernozhukov et al. Econometrics Journal
- Approximate residual balancing: debiased inference of average treatment effects in high dimensions
- (2018) Susan Athey et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
- A Unified Theory of Confidence Regions and Testing for High-Dimensional Estimating Equations
- (2018) Matey Neykov et al. STATISTICAL SCIENCE
- Linear Hypothesis Testing in Dense High-Dimensional Linear Models
- (2017) Yinchu Zhu et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Post-Selection Inference for Generalized Linear Models With Many Controls
- (2016) Alexandre Belloni et al. JOURNAL OF BUSINESS & ECONOMIC STATISTICS
- Robust inference on average treatment effects with possibly more covariates than observations
- (2015) Max H. Farrell JOURNAL OF ECONOMETRICS
- Robust Estimation of Inverse Probability Weights for Marginal Structural Models
- (2015) Kosuke Imai et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Stable Weights that Balance Covariates for Estimation With Incomplete Outcome Data
- (2015) José R. Zubizarreta JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Globally efficient non-parametric inference of average treatment effects by empirical balancing calibration weighting
- (2015) Kwun Chuen Gary Chan et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
- High-dimensional inference in misspecified linear models
- (2015) Peter Bühlmann et al. Electronic Journal of Statistics
- On asymptotically optimal confidence regions and tests for high-dimensional models
- (2014) Sara van de Geer et al. ANNALS OF STATISTICS
- Least squares after model selection in high-dimensional sparse models
- (2013) Alexandre Belloni et al. BERNOULLI
- Covariate balancing propensity score
- (2013) Kosuke Imai et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
- Confidence intervals for low dimensional parameters in high dimensional linear models
- (2013) Cun-Hui Zhang et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
- Simultaneous analysis of Lasso and Dantzig selector
- (2009) Peter J. Bickel et al. ANNALS OF STATISTICS
- High-dimensional Propensity Score Adjustment in Studies of Treatment Effects Using Health Care Claims Data
- (2009) Sebastian Schneeweiss et al. EPIDEMIOLOGY
- For objective causal inference, design trumps analysis
- (2008) Donald B. Rubin Annals of Applied Statistics
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started