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

(+ #Rstats #Stata #SAS #Python code)

https://fediscience.org/@MiguelHernan/109330956044497905

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.

#epidemiology #epiverse
#statistics
#datascience
#AI

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.