Further Reading and References

Section 5.9 provides a comprehensive list of references for those interested in the theory and practice of carryover (switchback) experiments, causal inference, and experimental design. Here are some highlights and recommended readings:

  • Foundational Works:

    • Fisher (1937): The Design of Experiments
    • Kempthorne (1955): The randomization theory of experimental inference
    • Imbens & Rubin (2015): Causal Inference for Statistics, Social, and Biomedical Sciences

  • Modern Causal Inference and Experimental Design:

    • Abadie et al. (2020): Sampling-based vs. design-based uncertainty in regression analysis
    • Athey & Imbens (2018): Design-based analysis in difference-in-differences settings
    • Bojinov & Shephard (2019): Time series experiments and causal estimands
    • Kohavi et al. (2020): Trustworthy Online Controlled Experiments

  • Carryover and Switchback Designs:

    • Basse et al. (2019b): Minimax crossover designs
    • Oman & Seiden (1988): Switch-back designs
    • Jones & Kenward (2014): Design and Analysis of Cross-over Trials

  • Practical Guides and Case Studies:

    • Kohavi & Thomke (2017): The surprising power of online experiments
    • Bakshy et al. (2014): Designing and deploying online field experiments
    • Chamandy (2016): Experimentation in a ridesharing marketplace (Lyft)
    • Kastelman & Ramesh (2018): Switchback tests at DoorDash

For a full bibliography and technical details, see the references section of the original paper.

Summary

For deeper understanding and advanced applications, consult the foundational and recent works listed above. These references cover both the statistical theory and practical implementation of carryover and switchback experiments.