SMARTAR

SMARTAR implements functions to design and analyze Sequential Multiple Assignment Randomized Trials (SMART) for comparing and selecting adaptive treatment strategies in clinical trials for chronic disorder management.

Key Features:

• SMART trial design: Functions to construct Sequential Multiple Assignment Randomized Trial designs and candidate adaptive treatment strategies.
• Statistical workflow support: Tools covering the statistical workflow for design and analysis specific to SMART clinical trials.
• Adaptive randomization: Implementation of adaptive randomization techniques to allocate treatments based on evolving participant responses.
• Strategy selection: Methods to compare and select optimal adaptive treatment strategies from a set of candidates.
• Clinical trial focus: Functionality tailored to clinical investigators and data analysts for trials rather than secondary analysis of observational studies.

Scientific Applications:

• Adaptive treatment strategy comparison: Statistical evaluation and comparison of adaptive treatment strategies within SMART designs.
• Personalized intervention development: Development and assessment of adaptive interventions for chronic disorder management.
• Adaptive randomization assessment: Evaluation of adaptive randomization schemes to personalize treatment allocation during trials.

Methodology:

Computational routines for SMART trial design, implementation of adaptive randomization techniques, and statistical analysis of adaptive treatment strategies.