Top Tweets for #CausalInferenceBook
Thank you @_MiguelHernan and @RobCalver5 for making this important and comprehensive resource on #CausalInference available for free #CausalInferenceBook
For the first time ever, a full draft of the #CausalInferenceBook is ready to download.
Enjoy it and send us your comments.
Please thank our publisher @RobCalver5 for supporting the free dissemination of the book. A print version (for purchase) is expected to follow in 2020.
For the first time ever, a full draft of the #CausalInferenceBook is ready to download.
Enjoy it and send us your comments.
Please thank our publisher @RobCalver5 for supporting the free dissemination of the book. A print version (for purchase) is expected to follow in 2020.
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://t.co/C68LQXz0sU
Last week my wife was out of town, research was slow, and summer self-study aspirations were high, so I sat down and organized:
ALL THE 50+ DAGS from @_MiguelHernan and Robins Causal Inference book (P1):
https://t.co/vKcdclTQbe
Some notes on key concepts
https://t.co/IcLZCLlrZW
@MulusewGerb Best books or articles on DAGs? I would recommend starting with the #causalinferencebook since it’s comprehensive, online, & free!
https://t.co/lTJoFTH13G
Free code for the #CausalInferenceBook in R, SAS, Stata, and Python.
Now updated and available through the book's web page.
https://t.co/bRPFYazK2D
We are indebted to Roger Logan, @epiellie, Joy Shi, Sean McGrath, and James Fiedler. Thanks!
#Rstats @Stata @SASsoftware @ThePSF
Free code for the #CausalInferenceBook in R, SAS, Stata, and Python.
Now updated and available through the book's web page.
https://t.co/bRPFYazK2D
We are indebted to Roger Logan, @epiellie, Joy Shi, Sean McGrath, and James Fiedler. Thanks!
#Rstats @Stata @SASsoftware @ThePSF
@evpatora @_MiguelHernan @dceaarhus The only proof to know that someone read the #causalinferencebook is observed how often he looks up and then looks at the other pedestrians to see whether they also looked up.
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://t.co/lTJoFTH13G
.@_MiguelHernan: Our revised #CausalInferenceBook is now freely available.
The book is organized in 3 parts of increasing difficulty: From counterfactuals and causal diagrams to treatment-confounder feedback and g-methods.
https://t.co/xaqcd6M4Hq
@_MiguelHernan could you please explain how Y^{a_0,a_1} is marginally independent of A_0? See highlight. Thanks! #causalinferencebook
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.
@_MiguelHernan @yudapearl 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?
Mind-blowing thread right here. Have been reading as much Seawall Wright as I can lately. 💡#causal #causalinferencebook #pathanalysis
1/n A thread on the notion that a statistical technique has been branded "Mendelian" (i.e. Mendelian randomization), as suggested by @DrMJoyner
@mendel_random @yudapearl @EpiEllie (we also thought #bookofwhy makes a great prequel to @_MiguelHernan & Jamie's gestating #causalinferencebook)
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?
@Iplaywithgerms I recommend the #causalinferencebook—it’s accessible, comprehensive, and best of all free online. https://t.co/lTJoFTH13G
Retweeting you to get something to read along with #causalinferencebook so I feel the discussion like in a classroom
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
#Bookofwhy
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
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