Design and Analysis Considerations for a Sequentially Randomized HIV Prevention Trial

David Benkeser (), Keith Horvath, Cathy J. Reback, Joshua Rusow and Michael Hudgens ()
Additional contact information
Cathy J. Reback: Friends Research Institute, Inc
Joshua Rusow: Friends Research Institute, Inc

Statistics in Biosciences, 2020, vol. 12, issue 3, No 12, 446-467

Abstract: 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.

Keywords: Randomized trial; SMART; HIV prevention; Targeted learning; MHealth (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://link.springer.com/10.1007/s12561-020-09274-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:stabio:v:12:y:2020:i:3:d:10.1007_s12561-020-09274-3

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/12561

DOI: 10.1007/s12561-020-09274-3

Access Statistics for this article

Statistics in Biosciences is currently edited by Hongyu Zhao and Xihong Lin

More articles in Statistics in Biosciences from Springer, International Chinese Statistical Association
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().