On regression adjustments to experimental data

Cited by (422)

Items 201–300 of 422

1. Covariate Adjustment for the Intention-to-Treat Parameter with Empirical Efficiency Maximization
   Daniel B. Rubin, Mark J. van der Laan · 2008 · Collection of Biostatistics Research Archive
2. New Evidence on Linear Regression and Treatment Effect Heterogeneity
   Tymon SSoczyyski · 2014 · SSRN Electronic Journal
3. Optimal Rerandomization via a Criterion that Provides Insurance Against Failed Experiments
   Adam D. Kapelner, Abba Μ. Krieger, Michael Sklar, David Azriel · 2019 · arXiv (Cornell University)
4. Race, Criminal Records, and Discrimination Against Job Seekers: Examining Attitudinal Mechanisms
   Megan Denver, Justin T. Pickett · 2021 · Social Currents
5. Rematching on‐the‐fly: Sequential matched randomization and a case for covariate‐adjusted randomization
   Jonathan Chipman, Lindsay Satterwhite Mayberry, Robert A. Greevy · 2023 · Statistics in Medicine
6. Improving Estimation Efficiency via Regression-Adjustment in Covariate-Adaptive Randomizations with Imperfect Compliance
   Liang Jiang, Oliver B. Linton, Haihan Tang, Yichong Zhang · 2024 · The Review of Economics and Statistics
7. Design-Based Theory for Lasso Adjustment in Randomized Block Experiments and Rerandomized Experiments
   K. Zhu, Hanzhong Liu, Yuehan Yang · 2024 · Journal of Business and Economic Statistics
8. Clean Cooking Fuel, Women’s Intra-household Status, and Son Preference in Rural India
   Avinash Kishore, Dean Spears · 2011
9. DO REEMPLOYMENT PROGRAMS FOR THE UNEMPLOYED WORK FOR YOUTH? EVIDENCE FROM THE GREAT RECESSION IN THE UNITED STATES
   Marios Michaelides, Peter R. Mueser, Jeffrey Andrew Smith · 2020 · Economic Inquiry
10. Adaptive Randomization via Mahalanobis Distance
    Yichen Qin, Yang Li, Wei Ma, Haoyu Yang, Feifang Hu · 2022 · Statistica Sinica
11. Statistical inference of heterogeneous treatment effect based on single-index model
    Sanying Feng, Kaidi Kong, Yinfei Kong, Gaorong Li, Zhaoliang Wang · 2022 · Computational Statistics & Data Analysis
12. Covariate adjustment in experiments with matched pairs
    Yuehao Bai, Liang Jiang, Joseph P. Romano, Azeem M. Shaikh, Yichong Zhang · 2024 · Journal of Econometrics
13. Does Upward Bound Have an Effect on Student Educational Outcomes? A Reanalysis of the Horizons Randomized Controlled Trial Study
    Alan B. Nathan · 2013 · ProQuest LLC eBooks
14. The (Non-) Partisan Logic of Audience Costs
    Matthew S. Levendusky, Michael C. Horowitz · 2009 · SSRN Electronic Journal
15. The Generalized Oaxaca-Blinder Estimator
    Kevin Guo, Guillaume Basse · 2020 · arXiv (Cornell University)
16. Public fear of protesters and support for protest policing: An experimental study
    Christi Falco Metcalfe, Justin T. Pickett · 2021
17. Outcomes of a Public Program to Support Sustainable Livestock Farming: Evidence From Uruguay
    Emilio Aguirre, Juan Baraldo, Marcelo Caffera, Hugo Laguna · 2026 · Journal of Agricultural Economics
18. Testing heterogeneous treatment effect with quantile regression under covariate-adaptive randomization
    Yang Liu, Lucy Xia, Feifang Hu · 2024 · Journal of Econometrics
19. The long-term impact of debt relief for indigent defendants in a misdemeanor court
    Lindsay Bing, Rebecca Goldstein, Helen Ho, Devah Pager, Bruce Western · 2024 · Proceedings of the National Academy of Sciences
20. Regression adjustment for estimating distributional treatment effects in randomized controlled trials
    Tatsushi Oka, Shota Yasui, Yuta Hayakawa, Undral Byambadalai · 2025 · Econometric Reviews
21. Causal inference in network experiments: Regression-based analysis and design-based properties
    Mengsi Gao, Peng Ding · 2025 · Journal of Econometrics
22. Sponsorship Effects in Online Surveys
    Charles David Crabtree, Holger Kern, Matthew T. Pietryka · 2020 · Political Behavior
23. Negative Weights Are No Concern in Design-Based Specifications
    Борусяк Кирилл Константинович, Peter Hull · 2024 · AEA Papers and Proceedings
24. Design-Based Covariate Adjustments in Paired Experiments
    Edward Wu, Johann A. Gagnon-Bartsch · 2020 · Journal of Educational and Behavioral Statistics
25. Dealing with Ratio Metrics in A/B Testing at the Presence of Intra-user Correlation and Segments
    Keyu Nie, Yinfei Kong, Ted Tao Yuan, Pauline Berry Burke · 2020 · Lecture notes in computer science
26. The impacts of unobserved covariates on covariate-adaptive randomized experiments
    Yang Liu, Feifang Hu · 2023 · The Annals of Statistics
27. A unified analysis of regression adjustment in randomized experiments
    Katarzyna Reluga, Ting Ye, Qingyuan Zhao · 2024 · Electronic Journal of Statistics
28. Some theoretical foundations for the design and analysis of randomized experiments
    Lei Shi, Xinran Li · 2024 · Journal of Causal Inference
29. Berry–Esseen bounds for design-based causal inference with possibly diverging treatment levels and varying group sizes
    Lei Shi, Peng Ding · 2026 · The Annals of Statistics
30. Design-Based Estimators for Average Treatment Effects for Multi-Armed RCTs
    Peter Z. Schochet · 2018 · Journal of Educational and Behavioral Statistics
31. Evaluation of the Teacher Incentive Fund: Implementation and Early Impacts of Pay-for-Performance after One Year.
    Hanley S. Chiang, ALISON J. WELLINGTON, Kristin Hallgren, Cecilia Speroni, Mariesa Herrmann, Steven Glazerman, Jill M. Constantine · 2015 · Society for Research on Educational Effectiveness
32. Evaluation of the Teacher Incentive Fund: Implementation and Impacts of Pay-for-Performance after Three Years
    ALISON J. WELLINGTON · 2015 · Mathematica Policy Research Reports
33. Improving Average Treatment Effect Estimates in Small-Scale Randomized Controlled Trials
    Isaac Opper · 2021 · Brown Digital Repository
34. Understanding the Complexities of Experimental Analysis in the Context of Higher Education
    Brent Joseph Evans · 2021 · Higher education
35. Building in an Evalualtion Component for Active Labor Market Programs: A Practitioner's Guide
    David Card, Pablo Ibarrarán, Juan Miguel Villa · 2011
36. Decreased Bi-Partisan Support for Pretrial Detention in Less Serious Cases: Evidence From an Experimental Survey
    Nick Petersen, Stacie St. Louis · 2024 · Criminal Justice and Behavior
37. Why are RCTs the Gold Standard? The Epistemological Difference Between Randomized Experiments and Observational Studies
    Christopher Harshaw · 2025 · Observational Studies
38. Asymptotic theory of the best-choice rerandomization using the Mahalanobis distance
    Yuhao Wang, Xinran Li · 2025 · Journal of Econometrics
39. Covariate Imbalance and Precision in Measuring Treatment Effects
    Xiaofeng Steven Liu · 2011 · Evaluation Review
40. A Simulation-Based Comparison of Covariate Adjustment Methods for the Analysis of Randomized Controlled Trials
    Pierre Chaussé, Jin Liu, George Luta · 2016 · International Journal of Environmental Research and Public Health
41. Empirical evaluation of home-based reablement: A review
    Tore Bersvendsen, Jochen A. Jungeilges, Eirik Abildsnes · 2021 · Nordic Journal of Health Economics
42. Confidence intervals for exposure‐adjusted rate differences in randomized trials
    Emil Scosyrev, Abhijit Pethe · 2021 · Pharmaceutical Statistics
43. Covariate‐adaptive randomization with variable selection in clinical trials
    Hao Zhang, Feifang Hu, Jianxin Yin · 2022 · Stat
44. Randomization-Based Test for Censored Outcomes: A New Look at the Logrank Test
    Xinran Li, Dylan S. Small · 2022 · Statistical Science
45. Model-Assisted Complier Average Treatment Effect Estimates in Randomized Experiments with Noncompliance
    Jiyang Ren · 2023 · Journal of Business and Economic Statistics
46. COADVISE: covariate adjustment with variable selection in randomized controlled trials
    Yi Liu, Ke Zhu, Larry Han, Shu Yang · 2025 · Journal of the Royal Statistical Society Series A (Statistics in Society)
47. A téma-keretezés hatása a menekült-politikával kapcsolatos véleményekre
    Janky Béla · 2016 · Regio
48. Domestic Alliance Formation and the Foreign Divestment Decisions of Firms
    Viacheslav Iurkov, Gabriel R.G. Benito · 2017 · Emerald Group Publishing Limited eBooks
49. Empirical Efficiency Maximization
    Daniel B. Rubin, Mark J. van der Laan · 2007 · Collection of Biostatistics Research Archive
50. Voter Persuasion in Compulsory Electorates: Evidence from a Field Experiment in Australia
    Patrick Lam, Kyle Peyton · 2013
51. Discriminations in the market for “Lemons”: A multicriteria correspondence test in France
    Souleymane Mbaye, Mathieu Bunel, Yannick L’Horty, Pascale Petit, Loïc du Parquet · 2020 · Economics of Transportation
52. Do Administrative Procedures Fix Cognitive Biases?
    Benjamin Minhao Chen, Brian Libgober · 2023 · Journal of Public Administration Research and Theory
53. Bounded Rationality as Deliberation Costs: Theory and Evidence from a Pricing Field Experiment in India
    Dean Spears · 2009 · SSRN Electronic Journal
54. Towards Optimal Variance Reduction in Online Controlled Experiments
    Ying Jin, Shan Ba · 2021 · arXiv (Cornell University)
55. The Strengths and Weaknesses of Directed Acyclic Graphs (Dags) as Cognitive, Analytical and Educational Tools for Medical Statistics
    George T. H. Ellison · 2022 · Preprints.org
56. Matching plus regression adjustment for the estimation of the average treatment effect on survival outcomes: a case study with mosunetuzumab in relapsed/refractory follicular lymphoma
    Danilo Di Maio, S.A. Mitchell, Sarah Batson, Edna Keeney, Howard H. Z. Thom · 2025 · BMC Medical Research Methodology
57. What randomization can and cannot guarantee
    Peng Ding · 2025 · Observational Studies
58. Directed acyclic graphs as conceptual and analytical tools in applied and theoretical epidemiology: advances, setbacks and future possibilities
    George T. H. Ellison, Hanan Rhoma · 2025 · Mathematical Biosciences & Engineering
59. Machine Learning for Econometrics
    Christophe Gaillac, Jérémy L’Hour · 2025
60. Beyond the Average: Distributional Causal Inference under Imperfect Compliance
    Undral Byambadalai, Tomu Hirata, Tatsushi Oka, Shota Yasui · 2025 · neural information processing systems
61. A Lasso approach to covariate selection and average treatment effect estimation for clustered RCTs using design-based methods
    Peter Z. Schochet · 2022 · Journal of Causal Inference
62. A simulation study showed that linear regression and Mann-Whitney test can be used to analyze the Days Alive and at Home by Day 30 outcome in a randomized controlled trial
    Jonathan Alistair Cook · 2025 · Journal of Clinical Epidemiology
63. Forward selection and post-selection inference in factorial designs
    Lei Shi, Jingshen Wang, Peng Ding · 2025 · The Annals of Statistics
64. Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation
    Jieru Shi, Zhenke Wu, Walter Dempsey · 2025 · Journal of the American Statistical Association
65. Can Political Participation Prevent Crime? Results from a Field Experiment About Citizenship, Participation, and Criminality
    Alan S. Gerber, Gregory A. Huber, Daniel R. Biggers, David J. Hendry · 2017 · Political Behavior
66. Interval Estimation of Treatment Effects In Randomized Trials: When do Confidence Intervals Have Nominal Coverage?
    Emil Scosyrev · 2012 · International Statistical Review
67. Improving Experiments by Optimal Blocking: Minimizing the Maximum Within-block Distance
    Michael Higgins, Jasjeet Singh Sekhon · 2013
68. Reciprocity and Prejudice: An Experiment of Hindu-Muslim Cooperation in the Slums of Mumbai
    Andrej Tusicisny · 2013
69. Multidimensional Democracy: The Supply and Demand of Political Representation
    Jeffrey Joseph Harden · 2019 · Carolina Digital Repository (University of North Carolina at Chapel Hill)
70. Causal Inference from Possibly Unbalanced Split-Plot Designs: A Randomization-based Perspective
    Rahul Mukerjee, Tirthankar Dasgupta · 2021 · Statistica Sinica
71. Testing for covariate balance in comparative studies
    Yevgeniya N. Kleyman · 2009
72. A Randomization-Based Theory for Preliminary Testing of Covariate Balance in Controlled Trials
    Anqi Zhao, Peng Ding · 2023 · Statistics in Biopharmaceutical Research
73. The effects of bank levies post-financial crisis in Eastern Europe
    Daniela Balutel, Marcel Cristian Voia · 2021 · Post-Communist Economies
74. What Now? Some Brief Reflections on Model-Free Data Analysis
    Richard A. Berk · 2009 · RePEc: Research Papers in Economics
75. Technical Methods Report Estimation and Identification of the Complier Average Causal Effect Parameter in Education RCTs
    Peter Z. Schochet, Hanley S. Chiang · 2009 · RePEc: Research Papers in Economics
76. Randomization-Based Causal Inference from Unbalanced 2^2 Split-Plot Designs
    Anqi Zhao, Peng Ding, Tirthankar Dasgupta · 2016 · arXiv (Cornell University)
77. Design‐ and Model‐Based Analysis of Propensity Score Designs
    Peter M. Steiner · 2016 · Wiley series in probability and statistics
78. An Optimal Method for Covariate Balancing and Its Properties
    Yichen Qin, Yang Li, Feifang Hu · 2016 · arXiv (Cornell University)
79. Experimental Methods in Survey Research in Demography
    Duncan Thomas, Elizabeth Frankenberg · 2015 · Elsevier eBooks
80. Heterogeneous Treatment Effect Estimation through Deep Learning
    Ran Chen, Hanzhong Liu · 2018 · arXiv (Cornell University)
81. Unbiased variance reduction in randomized experiments
    Reza Hosseini, Amir Najmi · 2019 · arXiv (Cornell University)
82. A Lasso-OLS Hybrid Approach to Covariate Selection and Average Treatment Effect Estimation for Clustered RCTs Using Design-Based Methods
    Peter Z. Schochet · 2020 · arXiv (Cornell University)
83. Interpreting Ols Estimands When Treatment Effects are Heterogeneous: Smaller Groups Get Larger Weights
    Tymon Słoczyński · 2020 · SSRN Electronic Journal
84. Should Early Health Investments Work? Evidence from an RCT of a Home Visiting Programme
    Deirdre Coy, Orla Doyle · 2020 · RePEc: Research Papers in Economics
85. Inverse Probability Weighting Estimation in Completely Randomized Experiments
    Biao Zhang · 2023 · The American Statistician
86. Design-based RCT estimators and central limit theorems for baseline subgroup and related analyses
    Peter Z. Schochet · 2024 · Journal of Causal Inference
87. STATE: A Robust ATE Estimator of Heavy-Tailed Metrics for Variance Reduction in Online Controlled Experiments
    Hao Zhou, Kun Sun, Shaoming Li, Yangfeng Fan, Guibin Jiang, Jiaqi Zheng, Tao Li · 2024 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
88. Adjustments with many regressors under covariate-adaptive randomizations
    Liang Jiang, Liyao Li, Ke Miao, Yichong Zhang · 2025 · Journal of Econometrics
89. The Pairwise Matching Design Is Optimal Under Extreme Noise and Extreme Assignments
    Adam D. Kapelner, Abba Μ. Krieger, David Azriel · 2025 · Stat
90. Regression Adjustment in Covariate‐Adaptive Randomized Experiments With Missing Covariates
    Wanjia Fu, Yingying Ma, Hanzhong Liu · 2025 · Statistics in Medicine
91. Distributional treatment effects of content promotion: evidence from an ABEMA field experiment
    Shota Yasui, Tatsushi Oka, Undral Byambadalai, Yuki Oishi · 2026 · Japanese Economic Review
92. Big dilemmas, little time: intergenerational climate justice and public support for deep decarbonisation
    Manuele Citi, Zhen Jie Im · 2026 · Environmental Politics
93. Covariate Adjustment in Basket Trials Borrowing Information Across Subgroups
    Jiyang Ren, Donald Robertson, Haiyan Zheng · 2026 · Statistics in Medicine
94. Climate change and permafrost dynamics: Impacts on lake morphometry in the semi-arid Khangay Mountains, Mongolia
    Altanbold Enkhbold, Byambabayar Ganbold, Amgalan Magsar, Yeong Bae Seong, Li Dingjun, Rentsenduger Boldbayar, Galbadrakh Tsolmonbayar, Gansukh Yadamsuren, Otgonsuren Shar · 2026 · Inland Waters
95. Anger and Political Information: Evidence from Digital-Age Field Experiments ∗
    Timothy J. Ryan · 2011
96. Comments on “Covariance Adjustments for the Analysis of Randomized Field Experiments”
    Winston T. Lin · 2014 · Evaluation Review
97. Neyman’s causal model with stochastic potential outcomes: implications for the completely randomized design
    Emil Scosyrev · 2014 · International Journal of Advanced Statistics and Probability
98. Optimising Graphical Techniques Applied to Irreversible Tracers
    Yasser Alzamil, Yulia Hicks, Xin Mi Yang, Christopher Marshall · 2018 · International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC)
99. Estimating the Distribution of Treatment Effects From Random Design Experiments
    William M. Rhodes, Gerald G. Gaes · 2020 · Evaluation Review
100. Understanding the Complexities of Experimental Analysis in the Context of Higher Education
     Brent Joseph Evans · 2020 · Higher education