SMARTAR: An R package for designing and analyzing sequential multiple assignment randomized trials

Xiaobo Zhong, Bin Cheng, Xinru Wang, Ying Kuen Cheung

Research output: Contribution to journalArticlepeer-review

Abstract

This article introduces an R package, SMARTAR (Sequential Multiple Assignment Randomized Trial with Adaptive Randomization), by which clinical investigators can design and analyze a sequential multiple assignment randomized trial (SMART) for comparing adaptive treatment strategies. Adaptive treatment strategies are commonly used in clinical practice to personalize healthcare in chronic disorder management. SMART is an efficient clinical design for selecting the best adaptive treatment strategy from a family of candidates. Although some R packages can help in adaptive treatment strategies research, they mainly focus on secondary data analysis for observational studies, instead of clinical trials. SMARTAR is the first R package provides functions that can support clinical investigators and data analysts at every step of the statistical work pipeline in clinical trial practice. In this article, we demonstrate how to use this package, using a real data example.

Original languageEnglish
Article numbere10559
JournalPeerJ
Volume9
DOIs
StatePublished - 11 Jan 2021
Externally publishedYes

Keywords

  • Adaptive Treatment Strategy
  • Analysis
  • Clinical Trial
  • Design
  • R package
  • SMART

Fingerprint

Dive into the research topics of 'SMARTAR: An R package for designing and analyzing sequential multiple assignment randomized trials'. Together they form a unique fingerprint.

Cite this