Learn Statistic @Learnstatistic
Joined May 2015-
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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.
Now Andrea Rotnitzky on semiparametrics and more #Causalinference
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!
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
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stats4drs @StatisticalFor
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Am J Epidemiology @AmJEpi
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Streamlit @streamlit
38K Followers 49 Following Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver dynamic data apps -- in only a few lines of code.
Tat-Thang Vo @TatThangVo1
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CAUSALab @CAUSALab
7K Followers 49 Following Actionable #causalinference with real-world impact. We use health data to help decision makers make better decisions. We train investigators @HarvardChanSPH.
Juan Hincapie-Castill... @DrJuanHC
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C. Laprise, PhD @epi_scientist
19 Followers 393 Following Epidemiologist / Researcher. Infectious disease and cancer epidemiology, public health.
Martha Ruelas @MarthaRuelasG
65 Followers 673 Following Threat Detection Engineer| Cybersecurity Grad Student| Economics Enthusiast |
Farzana Bashir🇵�... @FarzanaBashir97
87 Followers 258 Following Research Associate - @AKUGlobal || Statistician || Data Analyst 📈 || RStudio 💻 || Stata 📊 || Python 🐍 || @AKUPaediatrics #Researcher
Sherri Rose @sherrirose
14K Followers 270 Following Professor @Stanford | Computational Health Economics & Outcomes | Fair Machine Learning | Causality
XYZ @SFG_XYZ
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Richard Riley (R²) @Richard_D_Riley
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Akinfosile Oluwaseyi @seyi42k
801 Followers 1K Following Seeking to be a better me, AA, Arsenal fan and loves playing videogames....shoot your shot
Oliver Müller, Ph.D. @VoltarCH
6K Followers 342 Following Stargazing astrophysicist, data scientist, nerd, blogger, guitarist, Pen & Paper enthusiast. @EPFL_en, formerly @UniBasel, @ObsStrasbourg, @Google_CH. He/him.
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80K Followers 281 Following Student of causal inference, human reasoning, and history of ideas, all viewed through the sharp lens of artificial intelligence.
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Papers with Code @paperswithcode
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🔥 Kareem Carr PhD ... @kareem_carr
172K Followers 347 Following Statistician. PhD@Harvard. Check out my Vital Statistics newsletter (link in bio)
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Gus (🤖🧠+🐍+�... @gusthema
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stats4drs @StatisticalFor
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Sir Panda (Zad Rafi) @dailyzad
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Christoph Molnar 🦋... @ChristophMolnar
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TuringPost @TheTuringPost
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Miguel Hernán @_MiguelHernan
42K Followers 184 Following Using health data to learn what works. Making #causalinference less casual. Director @CAUSALab | Professor @HarvardChanSPH | Methods Editor @AnnalsofIM
Edward Kennedy @edwardhkennedy
4K Followers 546 Following assoc prof of statistics & data science @CMU_Stats @CarnegieMellon. interested in causality, machine learning, nonparametrics, criminal justice, public policy
Mark van der Laan @mark_vdlaan
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Karla DO @karlado
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🌻Miguel Ángel🌻 @Miguitofr
120 Followers 314 Following “𝑳𝒂𝒔 𝒗𝒆𝒓𝒅𝒂𝒅𝒆𝒔 𝒆𝒍𝒆𝒎𝒆𝒏𝒕𝒂𝒍𝒆𝒔 𝒄𝒂𝒃𝒆𝒏 𝒆𝒏 𝒆𝒍 𝒂𝒍𝒂 𝒅𝒆 𝒖𝒏 𝒄𝒐𝒍𝒊𝒃𝒓𝒊́“ … 𝑎𝑙 𝑖𝑔𝑢𝑎𝑙 𝑞𝑢𝑒 𝑒𝑛 𝑢𝑛 𝑡𝑒𝑥𝑡𝑜 𝑑𝑒 280 𝑐𝑎𝑟𝑎𝑐𝑡𝑒𝑟𝑒𝑠, 𝑠𝑖 𝑠𝑒 𝑠𝑎𝑏𝑒 𝑟𝑒𝑠𝑢𝑚𝑖𝑟…” *Olvidó acotar el apóstol*
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