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#weekendreads Directed Acyclic Graphs, Effect Measure Modification, and Generalizability by Michael Webster-Clark and Alex Breskin

Rachael K. Ross Alex Breskin and @epidbydesign.bsky.social ask When Is a Complete-Case Approach to Missing Data Valid? in a new methods paper. SER Am J Epidemiology doi.org/10.1093/aje/kw…

It is always gratifying to see DAGs continue their penetration into epidemiology research academic.oup.com/aje/advance-ar… I would only substitute the timid words "DAGs formalize concepts","illustrate exceptions","clarify phenomenon", "examine problems", with: "provide a solution to..."

"DAG With Omitted Objects Displayed (DAGWOOD): A framework for revealing causal assumptions in DAGs" gets MOAR UPDATES on arXiv now. Changes were mostly language-based for easier understanding, described below. arxiv.org/abs/2004.04251

Webster-Clark and Alex Breskin explain how to identify what variables can and cannot be effect measure modifiers using simple DAG rules doi.org/10.1093/aje/kw… ✅@AmjEpi

NoviSci is hiring! Statisticians, Epidemiologists, Senior level, Junior level, we want all of you! Come work for an exciting company implementing cutting-edge methods to solve real world problems in public health and healthcare. workforcenow.adp.com/mascsr/default…

Yes! Competing risks don't have to be confusing or complicated. If there was no late-entry or censoring, most people would instinctively know what they want to know and how to estimate it.

This point is so important, and I think is one of the biggest contributions of 'modern' methods work.

A The Nobel Prize for #causalinference from observational data. The Royal Swedish Academy of Sciences awards the "Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel" to David Card, Josh Angrist (Josh Angrist), and @Guido_Imbens. Congrats! nobelprize.org/prizes/economi…

In a new blog post from #TargetRWE's @NoviSci, Director of Statistics Alex Breskin explains how thinking in terms of dynamic treatment protocols can connect the dots between the many #StudyDesigns & #Analytic methods in #Pharmacoepidemiology. Read more 👉 buff.ly/2ZzVDo2

Come join the amazing epidemiology team @NoviSci Target RWE ✨💊🔬! We use innovative study designs, analytic methods, and technologies to conduct high-impact studies. It’s a great place to work and the people are awesome. workforcenow.adp.com/mascsr/default…

Noah tweeted this idea as a joke YEARS ago, and me and a couple of others jokingly said “hey, we should actually write that.” What followed was the strangest publication journey I’ve been involved in thus far.

"DAG With Omitted Objects Displayed (DAGWOOD)" is out in Annals of Epi! What is DAGWOOD? A framework? A method for revealing and reviewing causal inference model assumptions? A tool for model building? A statement on epistemic humility? Answer: Yes. doi.org/10.1016/j.anne…

🚨🚨 New Research Incoming 🚨🚨 What does Medicaid churn & coverage look like for women who give birth on Medicaid in a non-Expansion state? We (Rushina Cholera, MD PhD Sudha Raman Alex Breskin Charlene Wong, MD ) asked this in work funded by Kate B. Reynolds Charitable Trust 1/6 ajogmfm.org/article/S2589-…

Fusion study designs harness the power of data combining. Cole et al. (2022) demonstrate.💡 It's not physics, it's Am J Epidemiology! doi.org/10.1093/aje/kw… jess edwards Alex Breskin @PausalZ

Webster-Clark and Alex Breskin explain how to identify what variables can and cannot be effect measure modifiers using simple DAG rules ➡️ doi.org/10.1093/aje/kw… @AmjEpi #ThrowbackThursday

Drs. Sara Levintow, Alex Breskin, & colleagues find that negative control outcome studies can strengthen the design & be a helpful tool in assessing the threat of confounding, a chief concern in healthcare database research onlinelibrary.wiley.com/doi/10.1002/pd…

This was so cool to be a part of, from a letter to the editor with Liz Rogawski McQuade to a full study led by our mutual connection Kayoko Shioda, PhD, DVM, MPH, it was research collaboration the way it’s supposed to happen.