William Shakespeare - How to Midsummer Night Dream
William Shakespeare - How to Midsummer Night Dream
I need to occupy my mind because I'm getting a tooth pulled this afternoon; So what if the literary classics where non-fiction?
Jane Austen - Accounts and Accountability
"What If" is a book for anyone interested in causal inference. Learn about counterfactuals, directed acyclic graphs, randomized experiments, observational studies, confounding, selection bias, inverse probability weighting, g-estimation, g-formula, instrumental variables, survival analysis
I just saw this and I think it complements the topic rather nicely. Because even in metric, someone will find a way to be ridiculous:
https://youtu.be/watch?v=kkfIXUjkYqE
Looking for some educative entertainment over the holidays?
Randall Munroe's "What if?" scientific answers to absurd questions are now starting to appear as videos. Enjoy the first three!
#XKCD #WhatIf #WhatIfBook #RandallMunroe
https://www.youtube.com/@xkcd_whatif
Just in time for Xmas:
A revision of the #WhatIfBook is available.
With a brand new chapter on #CausalMediation.
We also made general improvements and corrected typos (Thanks!).
https://hsph.harvard.edu/miguel-hernan/causal-inference-book/
The first edition of "Causal Inference: What If" is expected in bookstores before the Summer of 2023. We'll keep a free version online.
I know, "the" hazard ratio is so easy to estimate via a Cox model with covariates.
But estimating adjusted absolute risks, risk differences and risk ratios is easy too.
We explain how in Chapter 17 of the #WhatIfBook
Attached: 1 image Upgrade your #causalinference arsenal. A revision of our book "Causal Inference: What If" is now available 👇 https://hsph.harvard.edu/miguel-hernan/causal-inference-book/ Thanks to everyone who suggested improvements, reported typos, and proposed new citations and material. Enjoy the #WhatIfBook. Also, it's free.
My #introduction:
I repurpose observational #RealWorldData into scientific evidence for the prevention and treatment of human disease. At #CAUSALab, we often do so by explicitly emulating a #TargetTrial. Other times we analyze #RandomizedTrials.
I teach #causalinference methods at the #Harvard T.H. Chan School of #PublicHealth. My online course #CausalDiagrams and “Causal Inference" #WhatIfBook (with James Robins) are free. See my profile.
Upgrade your #causalinference arsenal.
A revision of our book "Causal Inference: What If" is now available
👇
https://hsph.harvard.edu/miguel-hernan/causal-inference-book/
Thanks to everyone who suggested improvements, reported typos, and proposed new citations and material.
Enjoy the #WhatIfBook.
Also, it's free.