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The Hybrid Experimental Design
Digital Components
An Intervention Delivery Framework and an Experimental Design
The Difference between Optimization and Evaluation
Adaptive Interventions
Why Do We Adapt
Example Scientific Questions
Introduction
How Do You Account for Key Changes in a Participant's Status in Terms of Medication Changes
Monte Carlo Simulation
Learn about the three stages of an experimental investigation
Obtain an estimate of the background variability of the measure of interest
Investigating the response to an experimental intervention
Begin by running exploratory assessments
Move on to the hypothesis generating experiments
Calculate a suitable sample size for a future experiment
Identified a suitable sample size
Obtain an estimate of the variability of the measure of interest
Introduction to the importance of experiments in science
Discussion of the importance of well-designed experiments
Example of a flawed experiment
Explanation of how to improve the experiment
Discussion of the importance of double-blind experiments
Explanation of the role of statistics in experiments
Discussion of the importance of replicability and diversity in experiments
Opening Remarks
The empirical program of experimentation
Importance of a control group
What is a pretest?
Regression-Discontinuity Design
Pre-tests
Interrupted Time Series with non-equivalent control group
Nonequivalent control design
Data analysis for interrupted time series baseline designs
Closing Remarks