NYU - Introduction to the Multiphase Optimization Strategy (MOST)
- Offered byCoursera
Introduction to the Multiphase Optimization Strategy (MOST) at Coursera Overview
Duration | 18 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Introduction to the Multiphase Optimization Strategy (MOST) at Coursera Highlights
- Earn a Certificate upon completion from New York University
Introduction to the Multiphase Optimization Strategy (MOST) at Coursera Course details
- This course is aimed at intervention scientists working in any area--including public health, education, criminal justice, and others-interested in learning about an innovative framework for conducting intervention research
- This course will show you how to use the multiphase optimization strategy (MOST) to: streamline interventions by eliminating inactive components; identify the combination of components that offers the greatest effectiveness without exceeding a defined implementation budget; develop interventions for immediate scalability; look inside the "black box" to understand which intervention components work and which do not; and improve interventions programmatically over time
- In this course you will relate the MOST framework to your research objectives; learn how MOST differs from the standard approach to intervention development and evaluation; learn how to complete the preparation and optimization phases of MOST; and become familiar with rigorous and highly efficient experimental designs that will enable you to examine the performance of individual intervention components
Introduction to the Multiphase Optimization Strategy (MOST) at Coursera Curriculum
Week 1 - MOST is a different way of thinking
Introduction to this course
Definitions of key concepts, Part 1
Definitions of key concepts, Part 2
What knowledge can and cannot be obtained from an RCT
Comparison of the classical treatment package and engineering approaches
The concept of optimization
The three phases of MOST
Why MOST is a different way of thinking
Review of Module 1
Course Review Form
Reading for ALL OF Module 1
Week 2 - The preparation phase: Laying the foundation for successful optimization
Basics of the Conceptual Model
The Conceptual Model: Best Practices
The Causal Part of the Conceptual Model
The Appropriate Level of Granularity for Intervention Components
Expressing Moderation in a Conceptual Model
The Pilot Study
Specifying the Optimization Objective
Review of Module 2
Reading for ALL OF Module 2
Week 3 - Introduction to the factorial optimization trial
Importance of the resource management principle
Introduction to the factorial experiment
Fundamental differences between the factorial experiment and the RCT
Why factorial experiments can be so economical
Why the 2^k experiment is so economical
Experimental control in a factorial design
Brief introduction to adaptive interventions
Different interventions, different optimization trial designs
Review of Module 3
Reading for Lessons 1-6
Reading for Lessons 7 and 8
Week 4 - Some conceptual and technical aspects of the factorial experiment
The regression model and coding
Interpretation of interaction effects
Understanding the basics of powering a factorial experiment
Two distinct perspectives on research: Conclusion-priority and decision-priority
Recognizing and dealing with a cluster structure
Review of Module 4
Reading for ALL OF Week 4
Week 5 - Rigorous and responsible conduct of intervention optimization research
Ensuring that all factors can be manipulated independently
Ensuring that all participants are provided with at least the standard of care
What to do if the primary outcome is years in the future
Informed consent in a factorial optimization trial
How to enter an optimization trial in a trial registry
Equipoise in optimization trials
How to avoid contamination
How to guard against protocol deviations
Review of Module 5
Reading for ALL OF Week 5
Week 6 - Completing the optimization phase and identifying your next steps
What it means to conclude the optimization phase of MOST
Introduction to making decisions based on the results of a factorial optimization trial
An example of making decisions based on the results of a factorial optimization trial
Beyond the optimized intervention
Review of Module 6
Reading for ALL of Module 6
Course Review Form
Final Exam
Introduction to the Multiphase Optimization Strategy (MOST) at Coursera Faculty details
Introduction to the Multiphase Optimization Strategy (MOST) at Coursera Admission Process
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