Open-Source Software

We aim to place the methods we develop directly into the hands of the bio-behavioral, education, and quantitative intervention scientists who will use them. To accomplish this, our strategy includes the development and dissemination of free software.

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Calculate sample size for and compare adaptive interventions within a clustered SMART with a continuous, end-of-study outcome

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Calculate the minimum sample size for a Pilot SMART

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Calculate the sample size and power for a Micro-Randomized Trial with a continuous proximal outcome

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Calculate the sample size for a SMART with a binary or continuous end of study outcome, in which the primary aim is to compare the mean of the outcome between two adaptive interventions

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Calculate the sample size for a SMART with a binary, longitudinal outcome, in which the primary aim is to compare the log-odds of success between two adaptive interventions

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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

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Calculate the sample size for a SMART with a longitudinal count outcome, in which the primary aim is to compare the mean count between two adaptive interventions

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Compare adaptive interventions in a SMART with a binary, longitudinal outcome

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Compare adaptive interventions in a SMART with a continuous end-of-study outcome

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Compare adaptive interventions in a SMART with a continuous, longitudinal outcome

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Compare adaptive interventions in a SMART with a continuous, longitudinal outcome (linear mixed modeling)

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Construct a more deeply-tailored adaptive intervention using data from a SMART

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Estimate the proximal and distal causal effects of a just-in-time intervention component on a continuous outcome using data from a Micro Randomized Trial

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Multiphase Optimization Strategy (MOST) – Code to design a factorial experiment

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Power calculation for the Mobile-Assistance for Regulating Smoking (MARS) Micro-Randomized Trial

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Sample size calculations for the Sense2Stop Study: A stratified, micro-randomized trial

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Simulating and analyzing data from a Hybrid Experimental Design (HED)

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The Self-Relevant Appeals to Engage in Self-Monitoring of Alcohol Use Micro-Randomized Trial

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The Substance Abuse Research Assistant (SARA) Micro-Randomized Trial: Workflow and templates for reproducing results

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Portions of this website and the related scientific research were funded by National Institute on Drug Abuse (NIDA) awards P50 DA039838 and P50 DA010075 to The Methodology Center at Penn State, Institute for Educational Sciences award R324B180003 and NIDA award R01 DA039901 to the University of Michigan.