#Causalinference that talks the talk and walks the walk. Claim: "Continuing #breastcancer screening past age 75 doesn't reduce 8-year breast cancer mortality." Emulation of a #TargetTrial led by Xabier G. de Albeniz with Medicare data doi.org/10.7326/M18-11… Let the discussion start.

Hi everyone! As a (small) distraction from the ongoing stress in our lives, here’s a #tweetorial on our new paper. Miguel Hernán Xabier G. de Albeniz NCI Cancer Stats

BREAKING: Randomized trial EPICOS will study #tenofovir for the prevention of #COVID19 in 4000 health care workers in Spain. Participants will receive tenofovir (an HIV drug) or hydroxychloroquine (a malaria drug) or both or placebo. Led by Julia del Amo clinicaltrials.gov/ct2/show/NCT04…

BREAKING: Risk of #COVID19 hospitalization in 77,590 persons with #HIV by antiretroviral type: TDF/FTC: 10.5 TAF/FTC: 20.3 ABC/3TC: 23.4 Other: 20.0 per 10,000 (Febr-April 2020) WANTED: Randomized trials of TDF/FTC (Tenofovir/Emtricitabine) doi.org/10.7326/M20-36…

My first ever podcast covered some of my current obsessions: the role of gatekeeping in causal inference; communicating the subtleties of causal inference in less siloed, more accessible ways & to a broader audience of quantitative methodologists; clinical research ethics

No habrá vacuna en 2020, pero quizás sí fármacos baratos y seguros para prevenir #COVID19. Para averiguarlo, el ensayo clínico #EPICOS necesita voluntarios. Si eres personal sociosanitario, únete hoy a EPICOS. Escribe a Dra. Julia del Amo / Dra. Rosa Polo [email protected]

1/ Epidemiologists & other data scientists: Has anyone ever asked you whether you *adjusted* for competing events? If so, they didn't know what they were talking about. We don't *adjust* for competing events. We specify the causal estimand of interest and try to estimate it.

Case-control studies are vulnerable to all the same biases that affect cohort studies, including time-varying confounding, selection bias, and immortal time bias. Here we extend the target trial approach to case-control designs to minimize these biases: bit.ly/36uXj3B

1/ We don't have a vaccine yet, but we have a treatment that may reduce the risk of #COVID19 by 20% without serious side effects. That treatment is #hydroxychloroquine. Risk ratio of COVID-19 in our meta-analysis of 3 prophylaxis randomized trials: 0.78 medrxiv.org/content/10.110…

@LSHTMstatmethod Harvard T.H. Chan School of Public Health Looking forward to tomorrow's discussion on how we learn what works for the treatment and prevention of #COVID19. Are observational studies reliable? Do we interpret randomized trials correctly? Any lessons for the next pandemic.. or this one?

If you're interested in #causalinference from real world data, join hundreds of colleagues who have already registered for the CAUSALab Inaugural Event on November 5. In-person registration almost sold out. Online registration extended through November 2. causalab.sph.harvard.edu/symposia/

Join Bradley Layton at the #FDASentinel Workshop in Session VI on Nov 9. The session will focus on pandemic response support, particularly #vaccinesafety protocols. Learn more ow.ly/Sljr50GEj6A #covid19

Interested in #causalinference? Learn from top experts in the field. Summer courses offered at the Harvard T.H. Chan School of Public Health in June, 2022. 👉Key Topics in Causal Inference 👉Target Trial Emulation Stay tuned for more details. causalab.sph.harvard.edu/courses

We support #womeninscience! Read about Susana Perez-Gutthann and her experiences as a pharmacoepidemiologist. ow.ly/3Miu50HSGI5 Women in Science Day United Nations #IDWGS2022 #womeninscienceday Susana Perez-Gutthann UN Women

Week 2 of the CAUSALab summer courses is all about how to emulate a #TargetTrial using healthcare databases. A combo of lectures + hands-on sessions in R/SAS. Come join us! Registration now open: ow.ly/H50b50I6hFU

🚀New CAUSALab summer course!🚀 Advanced Confounding Adjustment Learn to implement g-methods (IP weighting, parametric g-formula) in the settings of time-fixed and time-varying treatment. 4 days of lectures + hands-on sessions in R/SAS. Register here! causalab.sph.harvard.edu/courses/

Registration for the highly anticipated #2024CAUSALabcourses is now OPEN! Join us this summer Harvard T.H. Chan School of Public Health or #online. Secure your seat today! Visit our website for more information about enrollment and how to register causalab.sph.harvard.edu/courses/ #causalab #harvardchan

These courses are gold

Upgrade your #causalinference arsenal. A revision of our book "Causal Inference: What If" is available at miguelhernan.org/whatifbook Thanks to everyone who suggested improvements, reported typos, and proposed new citations and material. Enjoy the #WhatIfBook. Also, it's free.

The course will have protected time to address participants’ questions on their own observational studies. I look forward to engaging in these interesting discussions!!