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Time-varying treatments: Part III of
#CausalInferenceBook now online. Chapter 19 introduces key concepts, Chapter 20 explains treatment-confounder feedback, and Chapter 21 describes how g-methods deal with it. I wish this had been available when I started out in this business. pic.twitter.com/ltjFrYSkzf
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#CausalInferenceBook: Revised version available to download. New chapters coming soon. https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/ …Prikaži ovu nit -
Check out the updated
#causalinferencebook code! Now with Stata by yours truly
https://twitter.com/_MiguelHernan/status/1112384015108132865 … -
Review NYT: ‘The Book of Why’ Examines the Science of Cause and Effect
#causalinferencebook https://www.nytimes.com/2018/06/01/business/dealbook/review-the-book-of-why-examines-the-science-of-cause-and-effect.html … -
@UofUPHS@huntsmancancer@UofUResearch@carolinehimbert@SheetalHardikar@MCPlaydon@AdrianaMColetta let us read, learn and distribute this to our students...#CausalInferenceBook https://twitter.com/_MiguelHernan/status/1187041782787297280 … -
Thank you
@_MiguelHernan and@RobCalver5 for making this important and comprehensive resource on#CausalInference available for free#CausalInferenceBook https://twitter.com/_MiguelHernan/status/1187041782787297280 … -
Broke: writing casual when you meant to write causal Woke: writing causal when you meant to write casual
#causalinferencebook#casualinferencebook@_MiguelHernanpic.twitter.com/dLTS8GYWEw
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This is a great point. The
#CausalInferenceBook is fantastic but#epitwitter should know where to dig deeper and why ...https://twitter.com/NoahHaber/status/1193929241609375744 …
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Of all the things that excellent data scientists can do in their free time, I am so happy that Sam Finlayson (
@IAmSamFin) chose this. Thanks for helping us make the#CausalInferenceBook more accessible, Sam. I owe you one. https://twitter.com/IAmSamFin/status/1141619985695068160 …
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Curious to know more? The
#bookofwhy gives a high-level introduction to causal inference & causal graphs. The#causalinferencebook is a more detailed, but still accessible, primer on all things causal inference (plus its free!). You can access it here: https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/ …Prikaži ovu nit -
RT
@_MiguelHernan Our revised#CausalInferenceBook is now freely available. The book is organized in 3 parts of increasing difficulty: From counterfactuals & causal diagrams to treatment-confounder feedback & g-methods. Thanks to everyone who sent us… https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/ … -
Guess who is on chapter 7 of
#causalinferencebook, 10 chapters to causal survival analysis. In case you have not started the book, it is like a book of magical spells for those in comparative effectiveness research.Prikaži ovu nit -
Enjoyed reading
#Bookofwhy,#CausalInferenceBook &#WinnieTheWitch (my 5 yr old's favourite).Winnie's wand can change anything to anything with no side-effects. If we found one of these would all differences between@_MiguelHernan &@yudapearl disappear in a puff of smoke?pic.twitter.com/igKz6Pc58G
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Mind-blowing thread right here. Have been reading as much Seawall Wright as I can lately.

#causal#causalinferencebook#pathanalysishttps://twitter.com/mendel_random/status/1035933152953479168 …Prikaži ovu nit -
3/n Some of that "background knowledge" in real-world causal inference is that something can't be in the womb 70 years after it’s born. Absorb the tone of the rest of the preface, or read
@yudapearl twitter feed, or the book. How do other#causalinferencebook readers see this? pic.twitter.com/BkxXJ6XqT1
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I recommend the
#causalinferencebook—it’s accessible, comprehensive, and best of all free online. https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/ … -
Retweeting you to get something to read along with
#causalinferencebook so I feel the discussion like in a classroom https://twitter.com/AbbyCScience/status/1067539854135828481 … -
Take home message from chapter 3 of
#causalinferencebook "observational studies are conditionally randomized studies". I've never thought of them that way but defining them that way reinforce my trust in causal effect from obs studies. Yes smoking causes cancer!!! -
Now in the NEJM results from a RCT get reported as thy were from an observational study - some editors need to read books on causality and what RCTs tell you
#CausalInferenceBook#Bookofwhypic.twitter.com/ZDAVahvxv9
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There is a reason there is standing room only at Javier Sanchez from
@UPEI talk on mediation analysis at#isvee15 .#causalinferencebook for some of the concepts pic.twitter.com/NcGz3nL2yC
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