Han Chiu
@hanchiu_
Asst. professor at Penn State College of Medicine, #causalinference, #epidemiology
ID: 917962471310266369
https://hanchiu.github.io/chiulab/ 11-10-2017 03:58:02
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Here is the link to the book mentioned during the #Nutrition2023 American Society for Nutrition Causal Inference in Nutrition session: #CausalInference: What If (the book) Miguel Hernán hsph.harvard.edu/miguel-hernan/…
I am deeply honored and equally excited that I will soon join Harvard T.H. Chan School of Public Health as the next Dean there! Well… that’s the news. Advise, support, and cheering are all welcome ☺️ news.harvard.edu/gazette/story/…
Congrats to CAUSALab's Director Miguel Hernán for being awarded APHA's 2023 Lowell Reed Award! This award recognizes Miguel Hernán's groundbreaking work in the field of #causalinference & his contribution to shaping #healthpolicy & #research #methodology worldwide.
"Draw your assumptions before your conclusions" 5 years ago we launched the *free* #CausalDiagrams course Harvard Online @edxOnline. Since then, 80,000 people in 180 countries have registered. Check it out if you want to learn about DAGs and SWIGs : edx.org/learn/data-ana…
We're hosting a symposium Mar 6 (in-person Brigham and Women's Hospital & virtual) to bring you a line-up of brilliant nutrition colleagues & epidemiologists to discuss methods and works in progress addressing some of diet research's biggest challenges. To register: nutrition.bwh.harvard.edu
A blanket ban on the use of causal language in observational studies has long precluded nuanced discussion about which associations, if any, are truly causal Fantastic work by Issa Dahabreh (CAUSALab BIDMC Smith Center) and Kirsten Bibbins-Domingo changes this jamanetwork.com/journals/jama/…
See Dr. Miguel Hernan present at the Conference on Big Data in Biomedical and Population Health Sciences. Miguel Hernan, MD, DrPH, (Miguel Hernán) is the Director of the CAUSALab (CAUSALab) at Harvard T.H. Chan School of Public Health (Harvard T.H. Chan School of Public Health). bit.ly/PennBigData2024
Glad to see our efforts in print! 🙌Daniel Ibsen Martín Lajous Han Chiu Dalia Stern, Conor MacDonald
🎉 Excited to share that my NIH R35 grant on causal inference methods for treatment heterogeneity has been funded! Grateful for the support from my mentors and colleagues! 🙌 NIGMS Penn State News Penn State Health #CausalInference
Excited to share that our paper on a foundation AI model for cancer prognosis and pathology diagnosis is published in Nature today. nature.com/articles/s4158… DBMI at Harvard Med NIH NIGMS CDMRP American Cancer Society #AI #DigitalPathology