Eric Green

Research Notes

Science EN ↓ 8 avsnitt

Research Notes is a podcast about the reasoning behind research. Each episode features a conversation with the author of a study discussed at ghrbook.com. We trace how the research question was formed, how causal logic was mapped, how analytic decisions were made, and how uncertainty was interpreted. For teachers, students, and practitioners in global health, epidemiology, and data science, Research Notes makes research reasoning visible.

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Eric Green

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Science

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podcasters.spotify.com

Senaste avsnittet

28 jun 2026

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Avsnitt

What would it take to stop this outbreak? 28.06.2026

How do you model an outbreak when you don't yet know how the outbreak will unfold? In this episode of Research Notes, I speak with Lieutenant Commander Eric Mooring, an epidemiologist and data scientist with the U.S. Centers for Disease Control and Prevention (CDC) and the U.S. Public Health Service Commissioned Corps. We discuss the branching process model his team developed during the early...

Testing Ebola Vaccines in an Epidemic 12.06.2026

What does it take to run a vaccine trial in the middle of an Ebola outbreak? In this episode of Research Notes, I talk with Dr. Ana Maria Henao-Restrepo, former WHO scientist and one of the leaders of the groundbreaking Ebola ring vaccination trial conducted during the 2014–2015 West Africa outbreak. The trial ultimately demonstrated that the rVSV-ZEBOV vaccine was highly effective and helped esta...

Bayesian adaptive trial design in a Kenyan eye care program 13.05.2026

What happens when researchers stop a clinical trial early—not because something went wrong, but because the evidence became convincing faster than expected? In this episode of Research Notes, I talk with statistician David Macleod about a fascinating Bayesian adaptive trial embedded directly inside a mobile eye-screening program in Kenya. The project began with a practical global health problem: p...

Creating a synthetic South Africa to study tobacco taxes 30.04.2026

In this episode of Research Notes, I talk with economist Dr. Grieve Chelwa about his paper using the synthetic control method to estimate the impact of cigarette excise taxes on smoking in South Africa. We start with a simple question: did higher taxes actually reduce cigarette consumption, or were other forces—economic change, cultural shifts, or declining trends already underway—doing the work?...

Psychedelics, blinding, and causal inference methods 26.03.2026

In this episode of Research Notes, I talk with Dr. Gabe Loewinger of the National Institute of Mental Health about a core challenge in psychedelic clinical trials: participants often know whether they received the treatment. This “functional unblinding” means that people in different trial arms can develop very different expectations about what the treatment will do, and those expectations may the...

When an algorithm encodes inequity 24.03.2026

In this episode of Research Notes, I talk with Dr. Rohan Khazanchi about his recent paper in JAMA Internal Medicine examining what happened when race was removed from equations used to estimate kidney function. For years, these equations overestimated kidney function for Black patients, delaying access to kidney transplant waitlists and reducing the likelihood of receiving a transplant. We discuss...

What do we mean by 'clinically meaningful'? 09.03.2026

What does “clinically meaningful” actually mean in psychiatry? Compass Pathways recently reported Phase 3 results for COMP360, a synthetic psilocybin treatment for treatment-resistant depression. The company said 39% of treated patients achieved a “clinically meaningful” reduction in symptoms. But who decides what counts as meaningful? And how should we interpret a 3–4 point difference on a scale...

Episiotomy, Hemorrhage & DAGs 25.02.2026

In this interview, I speak with Dr. Judith Lieber (London School of Hygiene & Tropical Medicine) about her recent paper in The Lancet Global Health examining episiotomy and postpartum haemorrhage in women with moderate or severe anaemia. I originally came across this paper while searching for a real-world example to teach directed acyclic graphs (DAGs). It turned out to be a perfect case: clin...

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