On regression adjustments to experimental data

From MaRDI portal
Publication:2474254

DOI10.1016/j.aam.2006.12.003zbMath1130.62003OpenAlexW2148472246MaRDI QIDQ2474254

David Freedman

Publication date: 5 March 2008

Published in: Advances in Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.aam.2006.12.003




Related Items (35)

The Frisch-Waugh-Lovell theorem for standard errorsRidge rerandomization: an experimental design strategy in the presence of covariate collinearityReconciling design-based and model-based causal inferences for split-plot experimentsHarmonizing Optimized Designs With Classic Randomization in ExperimentsUsing Regression Models to Analyze Randomized Trials: Asymptotically Valid Hypothesis Tests Despite Incorrectly Specified ModelsCausal Inference from Possibly Unbalanced Split-Plot Designs: A Randomization-based PerspectiveStatistical inference of heterogeneous treatment effect based on single-index modelThe Generalized Oaxaca-Blinder EstimatorDesign-Based Ratio Estimators and Central Limit Theorems for Clustered, Blocked RCTsRandomization-based test for censored outcomes: a new look at the logrank testRandomization does not justify logistic regressionRejoinder: Matched pairs and the future of cluster-randomized experimentsRandomization-based Joint Central Limit Theorem and Efficient Covariate Adjustment in Randomized Block 2 K Factorial ExperimentsTo Adjust or not to Adjust? Estimating the Average Treatment Effect in Randomized Experiments with Missing CovariatesOn equivalencies between design-based and regression-based variance estimators for randomized experimentsRegression-adjusted estimation of quantile treatment effects under covariate-adaptive randomizationsLasso adjustments of treatment effect estimates in randomized experimentsThe impacts of unobserved covariates on covariate-adaptive randomized experimentsA unified analysis of regression adjustment in randomized experimentsOptimalA PrioriBalance in the Design of Controlled ExperimentsAgnostic notes on regression adjustments to experimental data: reexamining Freedman's critiqueRerandomization to improve covariate balance in experimentsAdaptive Randomization via Mahalanobis DistanceIdentification of causal effects using instrumental variables in randomized trials with stochastic complianceCovariate-adjusted Fisher randomization tests for the average treatment effectBias of the regression estimator for experiments using clustered random assignmentA paradox from randomization-based causal inferenceUnderstanding Ding's apparent paradoxMatching on‐the‐fly: Sequential allocation with higher power and efficiencyOn regression adjustments in experiments with several treatmentsOptimal Rerandomization via a Criterion that Provides Insurance Against Failed ExperimentsRandomization-based causal inference from split-plot designsIs regression adjustment supported by the Neyman model for causal inference?Revisiting regression adjustment in experiments with heterogeneous treatment effectsThe Perils of Balance Testing in Experimental Design: Messy Analyses of Clean Data



Cites Work


This page was built for publication: On regression adjustments to experimental data