Calculate the sample size for a SMART with a continuous, longitudinal outcome, in which the primary aim is to compare the mean between two adaptive interventions
About This Code
This code calculates the minimum sample size necessary for a SMART with a continuous longitudinal outcome, in which the primary aim is a comparison of the mean of the outcome between two adaptive interventions starting with different interventions.
How can a behavioral scientist use this code?
Behavioral scientists can use this code to calculate the sample size for a SMART with a longitudinal continuous outcome.
What method does this code implement?
This code implements sample size formulae based on a test of the null hypothesis that the difference in means between two adaptive interventions is zero.
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.