Decomposing Treatment Effect Variation

DOI10.48550/arXiv.1605.06566zbMath1418.62194arXiv1605.06566OpenAlexW2963256194WikidataQ61450147 ScholiaQ61450147MaRDI QIDQ75398

Luke Miratrix, Avi Feller, Peng Ding, Peng Ding, Luke W. Miratrix, Avi Feller

Publication date: 21 May 2016

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1605.06566

zbMATH Keywords

noncompliancerandomization inferenceheterogeneous treatment effectidiosyncratic treatment effect variationsystematic treatment effect variation

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Foundations and philosophical topics in statistics (62A01)

Related Items (7)

Robust machine learning for treatment effects in multilevel observational studies under cluster-level unmeasured confounding ⋮ Design-Based Ratio Estimators and Central Limit Theorems for Clustered, Blocked RCTs ⋮ Estimating heterogeneous causal effects in observational studies using small area predictors ⋮ Assumption-Lean Analysis of Cluster Randomized Trials in Infectious Diseases for Intent-to-Treat Effects and Network Effects ⋮ Comment: Invariance and causal inference ⋮ Flexible Sensitivity Analysis for Observational Studies Without Observable Implications ⋮ hettx

Cites Work

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• Randomization Inference for Treatment Effect Variation
• A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
• Estimating treatment effect heterogeneity in randomized program evaluation
• Instrumental variables: an econometrician's perspective
• Heterogeneous impacts in PROGRESA
• Model assisted survey sampling.
• On the application of probability theory to agricultural experiments. Essay on principles. Section 9. Translated from the Polish and edited by D. M. Dąbrowska and T. P. Speed
• A paradox from randomization-based causal inference
• Randomization-based causal inference from split-plot designs
• Robust regression: Asymptotics, conjectures and Monte Carlo
• Semiparametric instrumental variable estimation of treatment response models.
• Agnostic notes on regression adjustments to experimental data: reexamining Freedman's critique
• Compared to what? Variation in the impacts of early childhood education by alternative care type
• Interpretation of interaction: a review
• Sharp bounds on the variance in randomized experiments
• Evaluating marker-guided treatment selection strategies
• Recursive partitioning for heterogeneous causal effects
• Principal Stratification in Causal Inference
• Identification of Causal Effects Using Instrumental Variables
• Interaction
• Instrumental Variables Regression with Weak Instruments
• Making The Most Out Of Programme Evaluations and Social Experiments: Accounting For Heterogeneity in Programme Impacts
• Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
• Regression-assisted inference for the average treatment effect in paired experiments
• Assessing Treatment‐Selection Markers using a Potential Outcomes Framework
• Reduced Sensitivity to Hidden Bias at Upper Quantiles in Observational Studies with Dilated Treatment Effects
• Causal Inference for Statistics, Social, and Biomedical Sciences
• Sensitivity Analysis for m‐Estimates, Tests, and Confidence Intervals in Matched Observational Studies
• Observational studies.

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