Compare adaptive interventions in a SMART with a binary, longitudinal outcome
About This Code
This code is used to estimate and compare change in the log-odds of success in a binary longitudinal outcome for the adaptive interventions embedded in a SMART.
How can a behavioral scientist use this code?
Behavioral intervention scientists can use this code to make inferences about the relative causal effects of one adaptive intevention versus another using data from a SMART with a longitudinal binary outcome.
What method does this code implement?
This code implements a weighted least squares regression approach that is similar to longitudinal regression analyses using GEE with a logit link. In a SMART, the weights (which are potentially impacted by treatment) are known, by design.
LET’S STAY IN TOUCH
Join the d3center Mailing List
Keep up to date with the latest news, events, software releases, learning modules, and resources from the d3center.