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Reconciling design-based and model-based causal inferences for split-plot experiments

https://doi.org/10.1214/21-aos2144
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Design and Analysis of Experiments
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Design and Analysis of Experiments, Second Edition
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Sampling Statistics
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Experiments
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Observational Studies
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Asymptotic normality for two-stage sampling from a finite population
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Hadamard products and multivariate statistical analysis
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On regression adjustments to experimental data
inferredcites →https://doi.org/10.1016/j.jeconom.2021.04.007openalex-snapshot
Covariate-adjusted Fisher randomization tests for the average treatment effect
inferredcites →https://doi.org/10.1016/j.jeconom.2022.04.001openalex-snapshot
Cluster-robust inference: A guide to empirical practice
inferredcites →https://doi.org/10.1016/j.jspi.2009.07.008openalex-snapshot
Is regression adjustment supported by the Neyman model for causal inference?
inferredcites →https://doi.org/10.1017/cbo9781139025751openalex-snapshot
Causal Inference for Statistics, Social, and Biomedical Sciences
inferredcites →https://doi.org/10.1080/00224065.2009.11917790openalex-snapshot
Split-Plot Designs: What, Why, and How
inferredcites →https://doi.org/10.1080/01621459.2013.844698openalex-snapshot
Large Sample Randomization Inference of Causal Effects in the Presence of Interference
inferredcites →https://doi.org/10.1080/01621459.2017.1294076openalex-snapshot
Using Standard Tools From Finite Population Sampling to Improve Causal Inference for Complex Experiments
inferredcites →https://doi.org/10.1080/01621459.2017.1295865openalex-snapshot
General Forms of Finite Population Central Limit Theorems with Applications to Causal Inference
inferredcites →https://doi.org/10.1080/01621459.2017.1323641openalex-snapshot
Analyzing Two-Stage Experiments in the Presence of Interference
inferredcites →https://doi.org/10.1080/01621459.2020.1750415openalex-snapshot
Randomization Tests for Weak Null Hypotheses in Randomized Experiments
inferredcites →https://doi.org/10.1080/01621459.2020.1775612openalex-snapshot
Causal Inference With Interference and Noncompliance in Two-Stage Randomized Experiments
inferredcites →https://doi.org/10.1080/01621459.2021.1906685openalex-snapshot
Design-Based Ratio Estimators and Central Limit Theorems for Clustered, Blocked RCTs
inferredcites →https://doi.org/10.1080/07350015.2016.1247004openalex-snapshot
Small-Sample Methods for Cluster-Robust Variance Estimation and Hypothesis Testing in Fixed Effects Models
inferredcites →https://doi.org/10.1080/19345747.2020.1831115openalex-snapshot
An Applied Researcher’s Guide to Estimating Effects from Multisite Individually Randomized Trials: Estimands, Estimators, and Estimates
inferredcites →https://doi.org/10.1086/517935openalex-snapshot
Monitoring Corruption: Evidence from a Field Experiment in Indonesia
inferredcites →https://doi.org/10.1093/biomet/50.3-4.431openalex-snapshot
The randomization distribution of F-ratios for the split-plot design-an empirical investigation
inferredcites →https://doi.org/10.1093/biomet/73.1.13openalex-snapshot
Longitudinal Data Analysis Using Generalized Linear Models
inferredcites →https://doi.org/10.1093/biomet/asaa038openalex-snapshot
Regression-adjusted average treatment effect estimates in stratified randomized experiments
inferredcites →https://doi.org/10.1093/biomet/asab051openalex-snapshot
Regression-based causal inference with factorial experiments: estimands, model specifications and design-based properties
inferredcites →https://doi.org/10.1093/biomet/asy034openalex-snapshot
Regression-assisted inference for the average treatment effect in paired experiments
inferredcites →https://doi.org/10.1093/wber/lhy031openalex-snapshot
Do Information Technologies Improve Teenagers’ Sexual Education? Evidence from a Randomized Evaluation in Colombia
inferredcites →https://doi.org/10.1111/j.1467-9868.2012.01048.xopenalex-snapshot
Adjusting Treatment Effect Estimates by Post-Stratification in Randomized Experiments
inferredcites →https://doi.org/10.1111/j.2517-6161.1955.tb00176.xopenalex-snapshot
Permutation Theory in the Derivation of Robust Criteria and the Study of Departures from Assumption
inferredcites →https://doi.org/10.1111/rssb.12085openalex-snapshot
Causal Inference from 2K Factorial Designs by Using Potential Outcomes
inferredcites →https://doi.org/10.1111/rssb.12290openalex-snapshot
On Mitigating the Analytical Limitations of Finely Stratified Experiments
inferredcites →https://doi.org/10.1111/rssb.12468openalex-snapshot
Model-Assisted Analyses of Cluster-Randomized Experiments
inferredcites →https://doi.org/10.1136/bmj.1.3923.554-aopenalex-snapshot
Design of Experiments
inferredcites →https://doi.org/10.1198/016214508000000292openalex-snapshot
Toward Causal Inference With Interference
inferredcites →https://doi.org/10.1201/9781420035834openalex-snapshot
The Theory of the Design of Experiments
inferredcites →https://doi.org/10.1214/08-sts274openalex-snapshot
The Essential Role of Pair Matching in Cluster-Randomized Experiments, with Application to the Mexican Universal Health Insurance Evaluation
inferredcites →https://doi.org/10.1214/12-aoas583openalex-snapshot
Agnostic notes on regression adjustments to experimental data: Reexamining Freedman’s critique
inferredcites →https://doi.org/10.1214/13-sts454openalex-snapshot
Comments on the Neyman–Fisher Controversy and Its Consequences
inferredcites →https://doi.org/10.1214/16-aoas969openalex-snapshot
Randomization inference for stepped-wedge cluster-randomized trials: An application to community-based health insurance
inferredcites →https://doi.org/10.1214/17-aos1605openalex-snapshot
Randomization-based causal inference from split-plot designs
inferredcites →https://doi.org/10.1214/aos/1176345634openalex-snapshot
On the Robustness and Efficiency of Some Randomized Designs
inferredcites →https://doi.org/10.1371/journal.pone.0146721openalex-snapshot
Analyzing Clustered Data: Why and How to Account for Multiple Observations Nested within a Study Participant?
inferredcites →https://doi.org/10.1515/spp-2013-0002openalex-snapshot
Unbiased Estimation of the Average Treatment Effect in Cluster-Randomized Experiments
inferredcites →https://doi.org/10.3102/1076998620946272openalex-snapshot
Insights on Variance Estimation for Blocked and Matched Pairs Designs
inferredcites →https://doi.org/10.3368/jhr.50.2.317openalex-snapshot
A Practitioner’s Guide to Cluster-Robust Inference
inferredcites →https://doi.org/10.3386/w11753openalex-snapshot
Monitoring Corruption: Evidence from a Field Experiment in Indonesia
inferredcites →https://doi.org/10.3386/w24003openalex-snapshot
When Should You Adjust Standard Errors for Clustering?
inferredcites →https://doi.org/10.3389/fnmol.2014.00030openalex-snapshot
Fatty acids increase neuronal hypertrophy of Pten knockdown neurons
inferredcites →https://doi.org/10.3982/ecta12675openalex-snapshot
Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis
inferredcites →https://doi.org/10.5705/ss.202020.0149openalex-snapshot
Causal Inference from Possibly Unbalanced Split-Plot Designs: A Randomization-based Perspective
inferredcites →https://doi.org/10.6084/m9.figshare.12071460openalex-snapshot
Randomization Tests for Weak Null Hypotheses in Randomized Experiments
inferredcites →https://doi.org/10.6084/m9.figshare.14308884openalex-snapshot
Design-Based Ratio Estimators and Central Limit Theorems for Clustered, Blocked RCTs

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Design-Based Covariate Adjustment for Causal Inference with Interference and Noncompliance
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Inference for two-stage experiments under covariate-adaptive randomization
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Tyranny-of-the-Minority Regression Adjustment in Randomized Experiments
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Robust and Efficient Estimation of Potential Outcome Means Under Random Assignment
inferred← citeshttps://doi.org/10.1080/07350015.2024.2429464openalex-snapshot
Rerandomization and Covariate Adjustment in Split-Plot Designs
inferred← citeshttps://doi.org/10.1093/biomet/asag013openalex-snapshot
Design-based causal inference for incomplete block designs
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Covariate adjustment in multiarmed, possibly factorial experiments
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Multiple randomization designs: estimation and inference with interference
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Statistical Inference and Power Analysis for Direct and Spillover Effects in Two-Stage Randomized Experiments
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Digital-driven optimisation methods for the thermal comfort and spatial form of traditional Beijing Siheyuan architecture
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Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Panel Experiments
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What randomization can and cannot guarantee
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Evaluations Amid Measurement Error: Determining the Optimal Timing for Workplace Interventions
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