On regression adjustments to experimental data

Freedman, David A.·2008·Advances in Applied Mathematics

Cited by (422)

Items 301–400 of 422

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  19. Regression-Adjusted Estimation of Quantile Treatment Effects under Covariate-Adaptive Randomizations
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  20. Unifying Design-based Inference: On Bounding and Estimating the Variance of any Linear Estimator in any Experimental Design
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  21. Model-assisted complier average treatment effect estimates in randomized experiments with non-compliance and a binary outcome
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  22. Essays on Causal Inference in Randomized Experiments
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  26. Essays in Labor Economics
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  27. Matching on-the-fly in Sequential Experiments for Higher Power and Efficiency
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  28. Matched Pairs and the Future of Cluster-Randomized Experiments: A Rejoinder
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  29. New Perspectives on Regression Adjustment in Causal Inference, with Applications to Educational Program Evaluation
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  30. Essays on Infrastructure and Development
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  31. Causal Inference in Block-Randomized Experiments: Analysis Based on Neyman’s Stochastic Causal Model
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  32. Exploring the Role of Randomization in Causal Inference
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  33. Causal Inference Lecture Notes: Covariate Adjustments in Randomized Experiments
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  34. The Influence of Labor Market Outcomes Data on Major Choice: Evidence from a Survey Experiment.
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    Daniel B. Rubin, Mark J. van der Laan · 2008
  38. Estimating treatment effects in demand response
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  43. Ridge Rerandomization: An Experimental Design Strategy in the Presence of Collinearity
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    Wu, Edward, Johann A. Gagnon-Bartsch · 2019 · arXiv (Cornell University)
  46. Statistical Power for Estimating Treatment Effects Using Difference-in-Differences and Comparative Interrupted Time Series Designs with Variation in Treatment Timing
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  47. Randomization-based joint central limit theorem and efficient covariate adjustment in stratified $2^K$ factorial experiments
    Hanzhong Liu, Jiyang Ren, Yuehan Yang · 2021 · arXiv (Cornell University)
  48. Bootstrapping inference of average treatment effect in completely randomized experiments with high-dimensional covariates
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  49. Flexible Covariate Adjustments in Regression Discontinuity Designs
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  50. Blocking, rerandomization, and regression adjustment in randomized experiments with high-dimensional covariates
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  51. Vincent Arel-Bundock: Regression adjustment in experiments
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  67. Exercises
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  68. Inference on heterogeneous effects
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  69. Introduction
    Christophe Gaillac, Jérémy L’Hour · 2025
  70. Generalization and methodology
    Christophe Gaillac, Jérémy L’Hour · 2025
  71. Modern language models
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  72. High dimension and endogeneity
    Christophe Gaillac, Jérémy L’Hour · 2025
  73. Word embeddings
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  74. Statistical tools
    Christophe Gaillac, Jérémy L’Hour · 2025
  75. Dedication
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  76. Going further
    Christophe Gaillac, Jérémy L’Hour · 2025
  77. The synthetic control method
    Christophe Gaillac, Jérémy L’Hour · 2025
  78. Working with text data
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  79. Authors
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  80. Optimal policy learning
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  81. Causal inference
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  82. Post-selection inference
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  83. Forecasting in high-dimension
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  89. Causal Inference in Multilevel Settings
    Christopher H. Rhoads, Eva Yujia Li · 2022 · Emerald Group Publishing Limited eBooks
  90. Recent developments in the econometrics of randomized controlled trials
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  92. Choosing and Using Safe Water Technologies: Evidence from a Field Experiment in Kenya
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  93. Additional file 1 of Using propensity scores to estimate the effectiveness of maternal and newborn interventions to reduce neonatal mortality in Nigeria
    Perin, Jamie, Alain K. Koffi, Henry D Kalter, Joseph Olumuyiwa Monehin, Adeyinka Adewemimo, John Quinley, Black, Robert E. · 2020 · Figshare
  94. Additional file 4 of Using propensity scores to estimate the effectiveness of maternal and newborn interventions to reduce neonatal mortality in Nigeria
    Perin, Jamie, Alain K. Koffi, Henry D Kalter, Joseph Olumuyiwa Monehin, Adeyinka Adewemimo, John Quinley, Black, Robert E. · 2020 · Figshare
  95. Additional file 3 of A comparison of covariate adjustment approaches under model misspecification in individually randomized trials
    Mia Sato Tackney, Tim Morris, Ian R. White, Clémence Leyrat, Karla Diaz‐Ordaz, Elizabeth Williamson · 2024 · Figshare
  96. Additional file 3 of Using propensity scores to estimate the effectiveness of maternal and newborn interventions to reduce neonatal mortality in Nigeria
    Perin, Jamie, Alain K. Koffi, Henry D Kalter, Joseph Olumuyiwa Monehin, Adeyinka Adewemimo, John Quinley, Black, Robert E. · 2020 · Figshare
  97. Additional file 2 of Using propensity scores to estimate the effectiveness of maternal and newborn interventions to reduce neonatal mortality in Nigeria
    Perin, Jamie, Alain K. Koffi, Henry D Kalter, Joseph Olumuyiwa Monehin, Adeyinka Adewemimo, John Quinley, Black, Robert E. · 2020 · Figshare
  98. Additional file 4 of A comparison of covariate adjustment approaches under model misspecification in individually randomized trials
    Mia Sato Tackney, Tim Morris, Ian R. White, Clémence Leyrat, Karla Diaz‐Ordaz, Elizabeth Williamson · 2024 · Figshare
  99. Additional file 1 of A comparison of covariate adjustment approaches under model misspecification in individually randomized trials
    Mia Sato Tackney, Tim Morris, Ian R. White, Clémence Leyrat, Karla Diaz‐Ordaz, Elizabeth Williamson · 2024 · Figshare
  100. Additional file 2 of A comparison of covariate adjustment approaches under model misspecification in individually randomized trials
    Mia Sato Tackney, Tim Morris, Ian R. White, Clémence Leyrat, Karla Diaz‐Ordaz, Elizabeth Williamson · 2024 · Figshare