Logistic Regression: A Primer (Quantitative Applications in the Social Sciences) 1st Edition

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ISBN-13: 978-0761920106
ISBN-10: 0761920102
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Editorial Reviews

About the Author

Fred C. Pampel (Ph.D., University of Illinois) is Professor of Sociology and Research Associate of the Institute of Behavior Science at the University of Colorado, Boulder. With John Williamson, he is the author of Age, Class, Politics, and the Welfare State and Old Age Security in Comparative Perspective. He has published numerous articles on topics relating to social policy, age structure, and pension spending, and is currently doing research on age differences in income inequality and mortality from suicide and homicide.
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Product Details

  • Series: Quantitative Applications in the Social Sciences (Book 132)
  • Paperback: 96 pages
  • Publisher: SAGE Publications, Inc; 1 edition (May 26, 2000)
  • Language: English
  • ISBN-10: 0761920102
  • ISBN-13: 978-0761920106
  • Product Dimensions: 8.4 x 5.4 x 0.2 inches
  • Shipping Weight: 4 ounces (View shipping rates and policies)
  • Average Customer Review: 4.6 out of 5 stars  See all reviews (11 customer reviews)
  • Amazon Best Sellers Rank: #240,417 in Books (See Top 100 in Books)

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38 of 42 people found the following review helpful By Gaetan Lion on April 15, 2004
Format: Paperback Verified Purchase
This is an excellent book on the subject. It covers the subject in detail. I work in a quantitative group of a large financial institution. My boss asked me recently to make a presentation on logistic regression, a subject I knew nothing about at the time.
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.
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1 of 1 people found the following review helpful By Tesla on December 29, 2013
Format: Paperback Verified Purchase
I bought this publication mainly so I could understand how logistic regression coefficients are derived. It does a good job of explaining this topic. It is short and not really a book - just a bunch of papers bound together, so the price is a little steep.
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1 of 1 people found the following review helpful By SG on October 15, 2010
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Well written and easy to understand. In an hour or 2, you can get a quick grasp on this subject. Considering the cost of textbooks nowadays this is sort of a good place to start if you are in a logistic regression class.
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This slim book provides a meaningful introduction to the concepts of logistic regression: what it is, where it outshines linear regression, significance of results, and more. But since this is aimed at users of statistical packages (STATA, SPSS, etc.), it doesn't go into the computational details of parameter estimation or much else beyond hand-calculator levels.

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.

-- wiredweird
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4 of 6 people found the following review helpful By Charlotte Booklover on July 6, 2009
Format: Paperback
This book is a good, quick introduction that will allow you to jump right into logistic regression. I found Pampel's writing to be comprehensible and quite suitable for anyone with a good working knowledge of regular linear regression.

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.
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By gwidme01 on April 22, 2011
Format: Paperback
I knew logisitic regression was the method to analyze my data but had no idea how to go about it. I am happy I found this booklet. In a few hours I was able to acquire the essence of logisitc regression and feel reasonable confident that I was running my analysis correctly. Really impressive how clear the explanations are. The examples are very useful.
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