Notes & Resources

Companion notes that go deeper on topics from Global Health Research in Practice. Each note pairs with a chapter and includes interactive code and visualizations you can explore on your own.

Listen to the podcast: Spotify · Apple Podcasts · YouTube (video) · RSS

Latest — Ch. 11: Quasi-Experimental Designs

Is ChatGPT a Substitute for Research Participants?

Making Sense of Silicon Subjects, Digital Twins, and Synthetic Control

Separate three concepts being conflated in public discourse — synthetic participants, the synthetic control method, and AI-augmented inference — using South Africa's tobacco tax policy as a worked example of how synthetic control builds counterfactuals from real data.

Synthetic ControlCausal InferenceDigital TwinsAI in Research

Chapter 6: Statistical Inference

What Does 'Clinically Meaningful' Mean?

MADRS Thresholds, MCID, and the Difference Between Statistical and Clinical Significance

Non-Significant ≠ No Effect

A Permutation-Based Demonstration

Chapter 7: Causal Inference

Drawing Your Assumptions

How a DAG Guided a Real Causal Analysis

Chapter 10: Experimental Designs

Can You Blind a Psychedelic?

Functional Unblinding, Expectancy Bias, and What It Means for Psychedelic Trial Design

What Does 'Clinically Meaningful' Mean?

MADRS Thresholds, MCID, and the Difference Between Statistical and Clinical Significance

What Counts as a 'Clinical Trial'?

How the NIH's Shifting Definition Reshapes Transparency in Research

What Makes a Trial 'Adequate and Well-Controlled'?

Lessons from the FDA's Refusal to Review an mRNA Flu Vaccine

Chapter 11: Quasi-Experimental Designs

When an Algorithm Encodes Inequity

Using Interrupted Time Series to Evaluate a National Policy to Undo Race-Based Harm in Kidney Transplantation

More Notes on the Way

New companion notes are added as chapters are released. Have a topic you'd like to see covered? Let us know.

Suggest a Topic