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T**S
Dense, but worth it
one of the coolest books ive ever read so far
G**N
Well-written good intro book for any audience
It is a well-written a good introduction book for experimentation, propensity matching, causal inference for any audience. The only complain I have is book is too verbose in terms of explanations. Many of the pages can be reduced to a single mathematical formula that anyone can understand.
E**
Good book
Nice book for the lovers of casual inference
G**L
Good Content Quality in Tidy Scope
This is a nicely done overview of the subject matter. Greater details are not necessary for many of us, and might even complicate the topics. A handy keeper reference book for what I do in the quality discipline.
S**M
Excellent book
Very well written and concise.
A**N
Excellent introduction to causal inference.
The book is geared towards a non-technical audience as a primer towards causal inference in regards to study design (randomized, quasi, and observational). The book details the concepts around causal inference and supports this with examples through the research literature. The book is well-written with lucid explanations. I especially enjoyed reading through the lines and seeing clearly that the author is influenced by philosophy. This scientific and philosophy thinking was a joy to read.
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