Analysis of proximal and distal effects using data from a hybrid SMART-MRT in which only non-responders are micro-randomized

About This Example Code

This example code can be used to estimate (a) the average main (and moderated) effect of digital components (i.e., a mobile-based prompt) on a binary proximal outcome; and (c) the main (and moderated) effects of human-delivered components (e.g., coaching sessions) on a distal outcome using simulated data from a hybrid SMART-MRT in which only non-responders were micro-randomized. This code accompanies the following manuscript on preprint server ArXiV: Design of Experiments with Sequential Randomizations on Multiple Timescales: The Hybrid Experimental Design (Nahum-Shani et al. 2023)

How can a behavioral scientist use this code?

Behavioral intervention scientists can use this code as a starting point for analyzing data from their own hybrid SMART-MRT.

What method does this code implement?

This code implements marginal causal excursion effect estimation for the proximal outcome analysis (see Qian et al., 2019) and linear regression using GEE only among non-responders for the distal outcome analysis.

Upcoming Events

Hybrid Experimental Designs for Developing Mobile Interventions

July 6, 2023
Leibniz Institute for Research and Information in Education
Learn More

Optimization of Adaptive Interventions

July 15, 2023, 10:45 - 12:00 p.m.
NIH Summer Institute on Randomized Behavioral Clinical Trials
Learn More

Leveraging digital technology to improve employee health and well-being: New intervention and experimental approaches

August 15, 2023
Disney Data and Analytics Conference
Learn More

Advances in Adaptive Interventions to Improve Outcomes for Individuals with SUD and HIV

October 3, 2023
UCSF, Center for AIDS Prevention Studies
Learn More

Optimizing the Adaptation and Personalization of SUD Services

October 18, 2023, 1:00 - 2:30 p.m.
Addiction Health Services Research Conference 2023
Learn More


Join the d3center Mailing List

Keep up to date with the latest news, events, software releases, learning modules, and resources from the d3center.