• Regression and Other Stories
  • Regression and Other Stories
ISBN: 1107676517
EAN13: 9781107676510
Language: English
Pages: 560
Dimensions: 1" H x 10" L x 7" W
Weight: 1.113334 lbs.
Format: Paperback

Regression and Other Stories

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Book Overview

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Most textbooks on regression focus on theory and the simplest of examples. Real statistical problems, however, are complex and subtle. This is not a book about the theory of regression. It is about using regression to solve real problems of comparison, estimation, prediction, and causal inference. Unlike other books, it focuses on practical issues such as sample size and missing data and a wide range of goals and techniques. It jumps right in to methods and computer code you can use immediately. Real examples, real stories from the authors' experience demonstrate what regression can do and its limitations, with practical advice for understanding assumptions and implementing methods for experiments and observational studies. They make a smooth transition to logistic regression and GLM. The emphasis is on computation in R and Stan rather than derivations, with code available online. Graphics and presentation aid understanding of the models and model fitting.

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Book Reviews (6)

4
  |   6  reviews
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3
   Not beginner friendly
The text book was assigned to me by my professor. This makes regression more complicated than it needs to be, unless you have a deep background in modeling. It's useful for more advanced statisticians who want to understand why we model the way we do. Not great for beginners. It has a decent integration of regression.
 
4
   Confidence and power
The chapter about power analysis and minimum sample size was the clearest exposition of power analysis that I have ever read. The last few chapters of causality inference were a little over my head.
 
1
   Kindle version is very hard to read
This isn't a comment on the quality of the contents but on the presentation. The format of the Kindle version is different, it has a smooth transition between pages. When you get to the end of a page, the previous one disappears and you jump to the next page. If you want to look at the last lines you have just read, you are taken back to the beginning of the previous page and have to scroll down. It's very hard to navigate.
 
4
   Good book, poor paperback print job
I want to read this book. The paperback print job from a major publisher was disappointing.
 
5
   A must have for scientists and researchers
If you are a researcher or a scientist, you should get this book. In real life scenarios, Gelman and Co. explain how to perform Bayesian analysis. The book describes the models in simple terms. The Rstanarm package is an adaptive RStan package in R software. The book is a work of fiction. I couldn't keep up with the book after the first few chapters. For the mathematical background, you should read their earlier book, Bayesian Data Analysis, since this book is practically oriented. The book along with Statistical Rethinking will give you a deeper understanding of using Bayesian analysis.
 
5
   Fantastic book on regression
A great amount of social science examples can be found in this well written book. This is the course text if I ever teach introductory econometrics again. Annotations appear in the left hand margins on both left and right pages in my paperback version. The binding partially obscured the right pages.
 
1