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Logistic Regression: A Primer (Quantitative Applications in the Social Sciences) 1st Edition
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Top Customer Reviews
Thanks to this book, I was able to develop the knowledge and expertise in this esoteric statistical method to make a descent presentation to my group. I was also able to develop basic logistic regression models in Excel.
Personally, unlike many of my colleagues (Russians with formidable backgrounds in math) I don't have an advanced knowledge in math or statistic. The book reviewed and taught me what I needed to know to grasp logistic regression. This included an excellent review of logarithms and partial derivatives.
If you are interested to learn this subject, and you need the equivalent of a most user friendly "Logistic Regression for Dummies" this is the book for you.
By the way, logistic regression is not so well known today outside of academic and quantitatively oriented circle. But, after studying it, I feel like it will take over linear regression big time. It is such a superior method to analyze situations associated with human behavior and human choices. Whether you are a psychologist, social scientist, or developer of financial products you will sooner or later have to grasp logistic regression because your counterparts and competitors will. And, in the statistical evaluation of decision-making, linear regression just can't compete with logistic regression. This book will help you catch the logistic regression wave.
The appendix on logarithms should tell you that this doesn't aim at readers comfortable with (or in need of) a peek under the covers at how things actually work. So decide what your goals are. If you want to gain confidence in meaningful use and interpretation of canned packages, this could be very helpful. But, if you're more a tool-maker than tool-user, this could be disappointing.
All in all, you could do far worse if you need a basic overview into LR. Think of this as a good book to let you know what you need to know. It'd also make a good reference if you need a primer on logs.
Most Recent Customer Reviews
This book is very helpful. It is much better than any internet explanation of logistic regressions. It explains matters in a nontechnical way.Published 6 months ago by Amazon Customer
This primer is exactly as advertised. Pampel provides cleaer, explicit explanations for the key concepts that underlie logistic regression.Published 6 months ago by William L.
I cam from a social science background, but have delved into statistics and modeling enough to know my way around. Read morePublished on January 24, 2014 by Matt D. Harris