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Optimal stepped wedge designs

Author

Listed:
  • Lawrie, Jock
  • Carlin, John B.
  • Forbes, Andrew B.

Abstract

Stepped wedge randomised trials are increasingly popular. Here we derive the optimal design for a fixed number of periods; this does not allocate an equal number of cluster units to each treatment sequence as might otherwise have been expected.

Suggested Citation

  • Lawrie, Jock & Carlin, John B. & Forbes, Andrew B., 2015. "Optimal stepped wedge designs," Statistics & Probability Letters, Elsevier, vol. 99(C), pages 210-214.
    • Handle: RePEc:eee:stapro:v:99:y:2015:i:c:p:210-214
    DOI: 10.1016/j.spl.2015.01.024
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    References listed on IDEAS

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    1. Rhoda, D.A. & Murray, D.M. & Andridge, R.R. & Pennell, M.L. & Hade, E.M., 2011. "Studies with staggered starts: Multiple baseline designs and group-randomized trials," American Journal of Public Health, American Public Health Association, vol. 101(11), pages 2164-2169.
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    Citations

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    Cited by:

    1. John N. S. Matthews, 2020. "Highly efficient stepped wedge designs for clusters of unequal size," Biometrics, The International Biometric Society, vol. 76(4), pages 1167-1176, December.
    2. Ruoxuan Xiong & Susan Athey & Mohsen Bayati & Guido Imbens, 2019. "Optimal Experimental Design for Staggered Rollouts," Papers 1911.03764, arXiv.org, revised Sep 2023.
    3. Li, Fan & Turner, Elizabeth L. & Preisser, John S., 2018. "Optimal allocation of clusters in cohort stepped wedge designs," Statistics & Probability Letters, Elsevier, vol. 137(C), pages 257-263.
    4. Jessica Kasza & Andrew B. Forbes, 2019. "Information content of cluster–period cells in stepped wedge trials," Biometrics, The International Biometric Society, vol. 75(1), pages 144-152, March.

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