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Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation. Erin E. Gabriel, Michael C. Sachs, Torben Martinussen, Ingeborg Waernbaum, Els Goetghebeur, Stijn Vansteelandt, Arvid Sjölander. Stat Med. onlinelibrary.wiley.com/doi/10.1002/si…
Every time continuous data are unnecessarily dichotomized a baby statistician dies
This was a shocking book. I just finished it and wasn't expecting what I learned. Every Machine Learning and Data Science practitioner should learn about causal inference. It's a different way of thinking. It makes me look at the world with different eyes.
Job Opportunity - Sr. Data Analyst! Work w/@_MiguelHernan & @lucia_petito on PCORI-funded multi-center study BESTMED (bestmed.org) using causal analysis techniques to answer cutting edge questions about optimal treatment of type 2 diabetes. Learn more & apply👇
Calling researchers and analysts who use real-world databases to learn what works. Did you know that our Target Trial Emulation course was first offered last year? Check out some of our 2022 testimonials. Want to learn more or register? Visit our website causalab.sph.harvard.edu/courses/
Recently my colleagues and I received the @RousseeuwPrize for Statistics from the King of Belgium. Huge honor and a wonderful recognition for #causalinference. But a little noticed contribution from the prize organizers is the best definition of #Statistics that I've ever seen:
The European Organisation for Research and Treatment of Cancer (@EORTC) endorses #TargetTrial emulation with #RWD. An organization with unmatched expertise in the design of #randomizedtrials embraces their explicit emulation when using observational data. ejcancer.com/article/S0959-…
I have been developing a four part clinical trials course. The first part has also been written up as a self-instruction document. It is available here senns.uk/ClinTrialsPt1.…. I hope that the link works. #clinicaltrials #statistics
Last chance to submit your abstract to the American Causal Inference Conference (ACIC), which will be held in Austin, Texas, May 24-26 2023. Deadline for latebreaker abstract submissions is February 27, 2023. sci-info.org/annual-meeting/
Are you ready for it? Registration for the 2023 CAUSALab summer courses will open on Monday, January 30th at 10:00 a.m. EST. Participants can attend the courses in person @HarvardChanSPH or online. 👉For details and logistics visit causalab.sph.harvard.edu/courses/
What's the equivalent of df |> arrange(x, desc(y), z) in base R? df[order(x, -y, z), ] works if y is numeric, but what if it's not? You could use the same technique as desc(), i.e. df[order(x, -xtfrm(y), z), ] but I don't think that xtfrm is a well known function #rstats
Jamie Robins on how Whitney Newey taught him semiparametric theory "over the course of a couple of days" and how it took Newey a year to review his influential 1994 JASA paper.
Inevitably at the Rousseeuw prize event, influence functions have entered the scene
1/ Six years ago we emulated a #TargetTrial of screening colonoscopy for colorectal #cancer using observational #Medicare data: pubmed.ncbi.nlm.nih.gov/27669524/ Today we publish preliminary findings from a truly randomized trial: nejm.org/doi/full/10.10… Their main results side by side👇
My My! What a wonderful gift for my 86-th birthday tomorrow. Knowing that some bookshelves on planet earth carry my thoughts makes me feel immortal and doubly committed to spending the next 34 years of my life searching for the calculus of our mind. Thank you!
Some scientists make causal inferences from observational data. Some scientists think that's wrong. Is #causalinference from observational data a legitimate scientific task? Watching my 20-minute answer youtu.be/l3qG9BV-GAo?t=… may help you make up your mind (starts at 1:11:12)
Interested in #causalinference? Enjoy these free materials: BOOK - Causal Inference: What If hsph.harvard.edu/miguel-hernan/… COURSE - Causal Diagrams: Draw your assumptions before your conclusions edx.org/course/causal-… SOFTWARE in #Rstats and @SASsoftware: github.com/CausalInference
Very important point ! #rstudio
I totally forgot to mention that RStudio IDE is not changing names; we returning to the days where RStudio meant the IDE, not the whole company
I totally forgot to mention that RStudio IDE is not changing names; we returning to the days where RStudio meant the IDE, not the whole company
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