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 [...]
About This Example Code This example code can be [...]
The Substance Abuse Research Assistance (SARA) Micro-Randomized Trial: Workflow and templates for reproducing results.
A clustered SMART is a type of randomized trial where intact clusters of units (e.g., patients) are randomized sequentially, yet the primary outcome is at the level of the units within the cluster. This software bundle does two things: (i) It provides data analysis code for comparing the embedded adaptive interventions in a clustered SMART on an end of study, continuous outcome. (ii) It provides the code for calculating the minimum sample size necessary for a clustered SMART in which the primary aim is the comparison of two adaptive interventions beginning with different interventions.
This code is used to estimate the causal effect of a just-in-time intervention component on the mean of a continuous proximal or distal outcome using data from an MRT.
This code is used to investigate whether (and, if so, how) a baseline or time-varying covariate can be a useful tailoring variables in an adaptive intervention.
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.
This code is used to estimate and compare the mean change in a longitudinal outcome for the adaptive interventions embedded in a SMART using a marginal linear mixed modeling approach.
This code is used to estimate and compare the mean change in a longitudinal outcome for the adaptive interventions embedded in a SMART.
This code is used to estimate and compare the mean of a continuous end-of-study outcome for the adaptive interventions embedded in a SMART.
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