New research published in Annals of Internal Medicine challenges past scholarship on metformin. CAUSALab collaborator Yu-Han Chiu identified no increased risk for childbirth with major birth defects when compared w/ women who discontinued the drug. CNN article: www.cnn.com/2024/06/17/h...
This week I discussed methods for health technology assessment at HTAi. My main point: "Observational data (#RWD) can often be used to emulate a #TargetTrial#RWE.
Did you know that the LATE estimator was independently described in 1994 by Imbens & Angrist in Econometrica and Baker & Lindeman in Statistics in Medicine? onlinelibrary.wiley.com/doi/10.1002/...www.tandfonline.com/doi/full/10....
With #TargetTrialedhub.ama-assn.org/jn-learning/...
Miguel A. Hernán, MD, DrPH, professor of epidemiology, Harvard T.H. Chan School of Public Health, discusses Target Trial Emulation: A Framework for Causal Inference From Observational Data with JAMA Statistical Editor Roger J. Lewis, MD, PhD.
First FEP-CAUSAL collab paper is out in AJE! pubmed.ncbi.nlm.nih.gov/38576166/@miguelhernan.bsky.social.
CAUSALab has a new collaboration with Broad Institute of MIT & Harvard! @miguelhernan.bsky.social received a Multidisciplinary University Research Initiative (MURI) award as a project collaborator to advance intervention design decision-making via computational framework.
DOD announced $221 million in awards for basic defense-related research projects as part of the Multidisciplinary University Research Initiative program.
Target Trial Emulation (TTE) is popular for students seeking hands-on health database #causalinference#targettrial@miguelhernan.bsky.socialcausalab.sph.harvard.edu/courses/
jamanetwork.com/journals/jam...www.neurology.org/doi/10.1212/...www.sciencedirect.com/science/arti...ajph.aphapublications.org/doi/10.2105/...link.springer.com/article/10.1...www.thelancet.com/journals/lan...www.bmj.com/content/371/...ajph.aphapublications.org/doi/10.2105/...
ContextThe 1992 peace settlement that ended the civil war in El Salvador included land redistribution and other provisions designed to improve the socioeconom
First, you're giving me too much credit. Second, I doubt descriptive studies are hard to publish. My colleagues and I have been publishing field work, surveys, etc. for >25 years. Doing this work I learned that good description (measurement) is the foundation of sound causal inference. Examples 👇
Don't let the causal inference buzz fool you: Description is the foundation of science. We've described the 3-year health impact of #COVID19academic.oup.com/ofid/article...
Using population-based data from several linked administrative and clinical databases, we characterized the health burden of COVID-19 longitudinally in the near