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Experiments that use covariate adaptive randomization (CAR) are commonplace in applied economics and other fields.
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William Rosenberger and John Lachin · 2015
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“Improved Rates and Asymptotic Normality for Nonparametric Neural Network Estimators”
Xiaohong Chen and H. White · 1999
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“Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models”
Daniel. Scharfstein, Andrea Rotnitzky and James. Robins · 1999
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Gautam Tripathi · 1999
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Peter. Bickel and Jaimyoung Kwon · 2001
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Li Yang and Anastasios. Tsiatis · 2001
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L. Györfi, M. Kohler, A. Krzyzak and H. Walk · 2002
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Erwan Scornet, Gérard Biau and Jean-Philippe Vert · 2015
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“Chapter 3 The Econometrics of Randomized Experiments”
S. Athey and G.W. Imbens · 2016
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“Inference Under Covariate-Adaptive Randomization”
Federico. Bugni, Ivan. Canay and Azeem. Shaikh · 2017
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“Double/debiased machine learning for treatment and structural parameters”
Victor Chernozhukov et al · 2018
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“Flexible Covariate Adjustments in Randomized Experiments”
Christoph Rothe · 2018
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“Inference under Covariate-Adaptive Randomization with Multiple Treatments”
Federico. Bugni, Ivan. Canay and Azeem. Shaikh · 2019
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“Properties of doubly robust estimators when nuisance functions are estimated nonparametrically”
Christoph Rothe and Sergio Firpo · 2019
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“Locally Robust Semiparametric Estimation”
Victor Chernozhukov et al · 2020
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“Nonparametric regression using deep neural networks with ReLU activation function”
Johannes Schmidt-Hieber · 2020
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“Nonparametric identification is not enough, but randomized controlled trials are”
P.. Aronow et al · 2021
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“Designing Representative and Balanced Experiments by Local Randomization”
Max Cytrynbaum · 2021
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“Deep Neural Networks for Estimation and Inference”
Max. Farrell, Tengyuan Liang and Sanjog Misra · 2021
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“Asymptotic Efficiency Bounds for a Class of Experimental Designs”
Timothy. Armstrong · 2022
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“Optimality of Matched-Pair Designs in Randomized Controlled Trials”
Yuehao Bai · 2022
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“Locally Robust Semiparametric Estimation”
Victor Chernozhukov et al · 2022
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“Regression analysis for covariate-adaptive randomization: A robust and efficient inference perspective”
Wei Ma, Fuyi Tu and Hanzhong Liu · 2022
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“Stratification Trees for Adaptive Randomization in Randomized Controlled Trials”
Max Tabord-Meehan · 2022
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