[Mobile pdf] Causal Inference in Statistics: A Primer
♥ Judea Pearl, Madelyn Glymour, Nicholas P. Jewell ♥
| #171008 in Books | Pearl Judea | 2016-03-07 | 2016-02-19 | Original language:English | PDF # 1 | 9.70 x.30 x6.70l,.0 | File Name: 1119186846 | 160 pages | Causal Inference in Statistics A Primer
||1 of 1 people found the following review helpful.| The book is a "cause" for celebration!|By Tomas J Aragon|I teach R programming to epidemiologists at UC Berkeley. I have appreciated the explosion of data science. However, epidemiologist are not statisticians or computer scientists. Epidemiologists have a central role is understanding causal inference for protecting and promoting health. Graphical causal models (causal graph|||"Despite the fact that quite a few high-quality books on the topic of causal inference have recently been published, this book clearly fills an important gap: that of providing a simple and clear primer...Use of counterfactuals [in the final chapter] is eleg
Many of the concepts and terminology surrounding modern causal inference can be quite intimidating to the novice. Judea Pearl presents a book ideal for beginners in statistics, providing a comprehensive introduction to the field of causality. Examples from classical statistics are presented throughout to demonstrate the need for causality in resolving decision-making dilemmas posed by data. Causal methods are also compared to traditional statistical methods, wh...
[PDF.hb23] Causal Inference in Statistics: A Primer Rating: 3.57 (434 Votes)
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