About this code

This code calculates the minimum sample size necessary for a SMART with a binary longitudinal outcome, in which the primary aim is a comparison of the log-odds of success between two adaptive interventions starting with different interventions.

How can a behavioral scientist use this code?

Behavioral intervention scientists can use this code to calculate the sample size for SMART with a binary 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 probabilities of success between two adaptive interventions is zero.

March 15th, 2024, 3 p.m.

Wenchu Pan

April 5th, 2024, 3 p.m.

Easton Huch

April 19, 2024, 3 p.m.

Jamie Yap

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