References

Abadie, Alberto, Susan Athey, Guido W Imbens, and Jeffrey M Wooldridge. 2020. “Sampling-Based Versus Design-Based Uncertainty in Regression Analysis.” Econometrica 88 (1): 265–96.

Athey, Susan, and Guido W Imbens. 2017. “The Econometrics of Randomized Experiments.” In Handbook of Economic Field Experiments, 1:73–140. Elsevier.

Bloom, Howard S. 1995. “Minimum Detectable Effects: A Simple Way to Report the Statistical Power of Experimental Designs.” Evaluation Review 19 (5): 547–56.

Bojinov, Iavor, David Simchi-Levi, and Jinglong Zhao. 2023. “Design and Analysis of Switchback Experiments.” Management Science 69 (7): 3759–77.

Ding, Peng. 2023. “A First Course in Causal Inference.” https://arxiv.org/abs/2305.18793.

Duflo, Esther, Rachel Glennerster, and Michael Kremer. 2007. “Using Randomization in Development Economics Research: A Toolkit.” Handbook of Development Economics 4: 3895–3962.

Hohnhold, Henning, Deirdre O’Brien, and Diane Tang. 2015. “Focusing on the Long-Term: It’s Good for Users and Business.” In Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1849–58.

Holland, Paul W. 1986. “Statistics and Causal Inference.” Journal of the American Statistical Association 81 (396): 945–60.

Imbens, Guido W. 2021. “Statistical Significance, p-Values, and the Reporting of Uncertainty.” Journal of Economic Perspectives 35 (3): 157–74.

Imbens, Guido W, and Donald B Rubin. 2015. Causal Inference in Statistics, Social, and Biomedical Sciences. Cambridge University Press.

King, Gary, and Langche Zeng. 2006. “The Dangers of Extreme Counterfactuals.” Political Analysis 14 (2): 131–59.

Kohavi, Ron, Alex Deng, Roger Longbotham, and Ya Xu. 2014. “Seven Rules of Thumb for Web Site Experimenters.” In Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1857–66.

Larsen, Nicholas, Jonathan Stallrich, Srijan Sengupta, Alex Deng, Ron Kohavi, and Nathaniel T Stevens. 2023. “Statistical Challenges in Online Controlled Experiments: A Review of a/b Testing Methodology.” The American Statistician, 1–15.

List, John A, Sally Sadoff, and Mathis Wagner. 2011. “So You Want to Run an Experiment, Now What? Some Simple Rules of Thumb for Optimal Experimental Design.” Experimental Economics 14: 439–57.

Nordin, Mattias, and Mårten Schultzberg. 2024. “Precision-Based Designs for Sequential Randomized Experiments.” arXiv Preprint arXiv:2405.03487.

Reich, Nicholas G, Jessica A Myers, Daniel Obeng, Aaron M Milstone, and Trish M Perl. 2012. “Empirical Power and Sample Size Calculations for Cluster-Randomized and Cluster-Randomized Crossover Studies.” PloS One 7 (4): e35564.

Rice, John A. 2006. Mathematical Statistics and Data Analysis. Cengage Learning.

Romer, David. 2020. “In Praise of Confidence Intervals.” In AEA Papers and Proceedings, 110:55–60.

Rubin, Donald B. 1980. “Randomization Analysis of Experimental Data: The Fisher Randomization Test Comment.” Journal of the American Statistical Association 75 (371): 591–93.

Zhou, Jing, Jiannan Lu, and Anas Shallah. 2023. “All about Sample-Size Calculations for a/b Testing: Novel Extensions and Practical Guide.” arXiv Preprint arXiv:2305.16459.