The 17th Kolokotrones Symposium, 'UK Secure Data Environments: A New Approach to Population-Scale Real World Evidence,” was a success!

Thanks to our speakers for providing valuable insight into the British data model.

Presentations now live on YouTube:
youtu.be/OkK57xqPOoI?si…

James Robins is back for Key Topics in Causal Inference (KTCI)!

Robins, MD is Mitchell L. & Robin LaFoley Dong Prof. Epidemiology Harvard Epidemiology. He researches observational studies & randomized trials w/ time-varying exposure.

Register to learn from James: causalab.sph.harvard.edu/courses/

Pygformula for #causalinference now available on our GitHub!

This comprehensive package is the 1st to implement #gformula in Python. Development led by Postdoc Fellow Jing Li.

GitHub repository:
github.com/CausalInferenc…

Package documentation:
pygformula.readthedocs.io

Congrats to Emma McGee for successfully defending her PhD dissertation!

Emma presented “Estimating the causal effects of dynamic strategies using observational data: applications to cancer survivors.”

We are excited for Emma to continue with CAUSALab as a Postdoctoral Fellow.

The CAUSALab is incredible, & my 1st yr in epidemiology has been deeply rewarding.

Thanks so much to Harvard T.H. Chan School of Public Health for this generous spotlight!

If any clinical folks are curious abt epi/causal inference, pls feel free to reach out. I'd love to chat!
linkedin.com/posts/causalab…

Wrapping up CAUSALab's #KolokotronesSymposium we have our esteemed speakers take part in our expert panel and discuss the important question - where do we go from here?

During CAUSALab's morning sessions @ #KolokotronesSymposium we learned about the UK approach to medicine data & electronic health records.

Afternoon started w/Stephen Duffield NICE presenting on making policy decisions on real world evidence fr. secure #data environments.

Wrapping up our morning sessions is Venexia Walker, Epidemiologist at University of Bristol & UPenn sharing with us how #causalinference is used in #UK electronic health records and opportunities available for open science.

#KolokotronesSymposium CAUSALab

Halfway through our morning sessions at CAUSALab's #KolokronesSyposium !

Now we're learning from John Tazare, Statistical Pharmacoepidemiologist at London School of Hygiene & Tropical Medicine who is presenting on #Causalinference for #therapeutics : OpenSAFELY and #COVID19 .

We are excited to hear from Reecha Sofat Professor at University of Liverpool to learn about 'Medicines #data in UK electronic #healthrecords : Opportunities for #targettrialemulation .'

CAUSALab #KolokotronesSymposium

Next up at CAUSALab's #KolokotronesSymposium we heard from William Hulme from University of Oxford (University of Oxford).

Will presented on #causalinference for #vaccinations focuing on OpenSAFELY and #COVID19 .

Follow along with us today, we'll be live tweeting from CAUSALab's 17th #KolokotronesSymposium !

Our first speaker, Rachel Denholm from University of Bristol kicks off the day with a presentation on Why the UK English secure data environments (SDEs) for #causalinference ?

Meet Judith Lok, PhD!

Judith is an Associate Prof. of Mathematics & Statistics Boston University. Her work focuses on #causal methods & survival analysis using #observationaldata .

Register today to learn from Judith: causalab.sph.harvard.edu/courses/

Will we see you this Friday at the Kolokotrones Symposium?

Register now to join the conversation on UK #securedata environments:
eventbrite.com/e/causal-infer…

Limited in-person spots remain. Registration closes Thursday (4/18) afternoon at 4:00 PM ET.

1 week until CAUSALab's 17th Kolokotrones symposium!

'UK Secure Data Environments: A New Approach to Population-Scale Real World Evidence” features expert panelists who will explore the British model from a #causal lens.

Don’t miss out! Register now:
eventbrite.com/e/causal-infer…

Key Topics in Causal Inference (KTCI) has a new instructor!

Sara Lodi, PhD is Associate Prof. of Biostatistics Boston University School of Public Health & Adjunct Associate Prof. Harvard University Epi. Her research centers on observational studies & clinical trials.

Register to learn from Sara:
causalab.sph.harvard.edu/courses/

New paper alert!

CAUSALab researchers Guanbo Wang & Issa Dahabreh published “Using Effect Scores to Characterize Heterogeneity of Treatment Effects” alongside Patrick Heagerty of @uwbiostat in @JAMA.

Read the article: jamanetwork.com/journals/jama/…

#publichealth #effectscores #hsph

Take Key Topics in Causal Inference (KTCI) with CAUSALab Director Miguel Hernán MD, DrPH!

Kolokotrones Prof. Biostatistics & Epidemiology Harvard T.H. Chan School of Public Health, he designs causal #publichealth frameworks

Courses: KTCI, ACA, TTE. Register to learn from Miguel: causalab.sph.harvard.edu/courses/