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Code LibraryIan Burnette2024-04-24T14:05:08+00:00

Code Library

Code Library

Browse our library of open-source statistical software for the design, conduct, and analysis of intervention optimization trials.

Browse our library of open-source statistical software for the design, conduct, and analysis of intervention optimization trials.

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Sequential, Multiple Assignment Randomized Trials [SMART]

SMART Sample Size Calculation

Sample size for a SMART with a binary, longitudinal outcome

Sample size for a SMART with a continuous, longitudinal outcome

Sample size for a SMART with a binary or continuous end-of-study outcome

Sample size for a SMART with a longitudinal count outcome

Sample size for a clustered SMART with a continuous, end-of-study outcome

SMART Data Analysis

Compare adaptive interventions in a SMART with a binary, longitudinal outcome [Standard Least Squares Regression]

Compare adaptive interventions in a SMART with a continuous, longitudinal outcome [Standard Least Squares Regression]

Compare adaptive interventions in a SMART with a continuous, longitudinal outcome [Linear Mixed Modeling]

Compare adaptive interventions in a SMART with a continuous end-of-study outcome [Weighted & Replicated Least Squares Regression]

Construct a more deeply-tailored adaptive intervention using data from a SMART [Q-Learning Regression]

Clustered SMART Data Analysis

NEW Clustered SMART Data Generation and Analysis

Compare adaptive interventions within a clustered SMART with a continuous, end-of-study outcome [Weighted & Replicated Least Squares Regression]

Micro-Randomized Trials [MRT]

MRT Sample Size & Power Calculations

Sample size & power for an MRT with a continuous proximal outcome

Sample size & power for an MRT with a binary proximal outcome

MRT Data Analysis

Estimate the proximal and distal causal effects of a JITAI on a continuous outcome

Primary and secondary analyses for MRT w/continuous or binary proximal outcome

MRT Case Studies

Power calculation for the Mobile Assistance for Regulating Smoking (MARS) MRT

Sample size calculations for the Sense2Stop stratified MRT

The Self-Relevant Appeals to Engage in Self-Monitoring of Alcohol Use MRT

The Substance Abuse Research Assistant (SARA) MRT

Hybrid Experimental Designs [HED]

HED Data Analysis

NEW Data Analysis for Three Kinds of Hybrid Experimental Designs

Analysis of proximal and distal effects using data from a hybrid SMART-MRT in which only non-responders are micro-randomized

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

Personalizing JITAIs [pJITAI]

Reinforcement Learning Algorithms

NEW Backend Service for the Oralytics RL Algorithm

NEW Backend Service for the MiWaves RL Algorithm

Multiphase Optimization Strategy [MOST]

Factorial Experiments

Code to design a factorial experiment

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.