Master the science that drives evidence-based medicine

If you've ever read a methods section and felt a quiet unease — not quite sure whether the study's conclusions hold up, but lacking the specific vocabulary to say exactly why — you're in the right place. That feeling is common among clinicians and trainees who have strong domain knowledge but were never given a systematic, rigorous grounding in how research evidence is actually produced and evaluated. This school exists to fix that.

I designed this curriculum for the professionals I've worked alongside throughout my career: the resident who wants to critically engage with the trials driving their department's protocols, the public health graduate who needs to move from coursework to fieldwork, the clinician-researcher who has data and a question but isn't confident about the design decisions, and the attending who sits on guideline committees and wants to argue from evidence with real precision. You already understand the clinical stakes. What you need is the methodological architecture to match.

The curriculum starts where the field starts — with what epidemiology is actually trying to do, how we define and measure disease in populations, and how we reason about causation. From there it builds deliberately: through every major study design, through the full taxonomy of bias and confounding, through the biostatistics you need to interpret and produce quantitative research, and into systematic reviews, meta-analysis, surveillance, and the translation of evidence into guidelines and policy. Nothing is skipped, and nothing is dumbed down. I use clinical examples throughout because that's where the methodology has to live — not in abstract problem sets, but in the kinds of questions that actually appear in journal clubs, grant applications, and board meetings.

I want to be direct about what I think the real obstacle is for most people who come to this material. It isn't intelligence, and it isn't effort. It's that epidemiology is often taught either too superficially — a list of definitions to memorize — or too technically — a statistics course wearing epidemiology's clothing. Neither produces the kind of thinker I'm trying to help you become: someone who can sit down with a published study, identify its design logic, spot its vulnerabilities, interpret its measures correctly, and form a defensible judgment about what it adds to the evidence base. That's a learnable skill. This curriculum teaches it.

If you're ready to move from consuming research to genuinely understanding it — and eventually producing it — I'd like to work through this with you. The methodology is demanding, but it's also deeply satisfying once it clicks. Come in with your clinical questions and your honest uncertainty. That's exactly the right starting point.