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Design and Analysis Considerations for a Sequentially Randomized HIV Prevention Trial

Author

Listed:
  • David Benkeser
  • Keith Horvath
  • Cathy J. Reback

    (Friends Research Institute, Inc)

  • Joshua Rusow

    (Friends Research Institute, Inc)

  • Michael Hudgens

Abstract

The TechStep study is an ongoing randomized controlled trial in HIV-negative transgender youths and young adults, which will evaluate the efficacy of mobile health interventions for reducing risk behaviors. Several mobile interventions are available, which complicates the design. To evaluate different combinations of mHealth interventions, TechStep is utilizing a sequentially randomized design. In this work, we discuss the motivation for this design, propose robust methodology for the analysis of the trial, and evaluate the methodology via simulation.

Suggested Citation

  • David Benkeser & Keith Horvath & Cathy J. Reback & Joshua Rusow & Michael Hudgens, 2020. "Design and Analysis Considerations for a Sequentially Randomized HIV Prevention Trial," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 12(3), pages 446-467, December.
  • Handle: RePEc:spr:stabio:v:12:y:2020:i:3:d:10.1007_s12561-020-09274-3
    DOI: 10.1007/s12561-020-09274-3
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    References listed on IDEAS

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    Cited by:

    1. Lina M. Montoya & Michael R. Kosorok & Elvin H. Geng & Joshua Schwab & Thomas A. Odeny & Maya L. Petersen, 2023. "Efficient and robust approaches for analysis of sequential multiple assignment randomized trials: Illustration using the ADAPT‐R trial," Biometrics, The International Biometric Society, vol. 79(3), pages 2577-2591, September.
    2. Ying Qing Chen, 2020. "Introduction to Special Issue on ‘Statistical Methods for HIV/AIDS Research’," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 12(3), pages 263-266, December.
    3. Lan Wen & Miguel A. Hernán & James M. Robins, 2022. "Multiply robust estimators of causal effects for survival outcomes," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(3), pages 1304-1328, September.

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