» Logistic Regression: A Primer (Quantitative Applications in the Social Sciences)
Logistic Regression: A Primer (Quantitative Applications in the Social Sciences) Details
Binding: PaperbackDewey Decimal Number: 519.536
EAN: 9780761920106
ISBN: 0761920102
Label: Sage Publications, Inc
Manufacturer: Sage Publications, Inc
Number Of Items: 1
Number Of Pages: 96
Publication Date: 2000-05-26
Publisher: Sage Publications, Inc
Studio: Sage Publications, Inc
- Applied Logistic Regression Analysis (Quantitative Applications in the Social Sciences) (v. 106)
- Interaction Effects in Multiple Regression (Quantitative Applications in the Social Sciences)
- Interaction Effects in Logistic Regression (Quantitative Applications in the Social Sciences)
- Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models (Quantitative Applications in the Social Sciences)
- Regression with Dummy Variables (Quantitative Applications in the Social Sciences)
Logistic Regression: A Primer (Quantitative Applications in the Social Sciences) Reviews
Customer Rating:




Summary: Excellent explanation of this esoteric method.
Comment: 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.
Editorial Review for Logistic Regression: A Primer (Quantitative Applications in the Social Sciences):
Trying to determine when to use a logistic regression and how to interpret the coefficients? Frustrated by the technical writing in other books on the topic? Pampel's book offers readers the first "nuts and bolts" approach to doing logistic regression through the use of careful explanations and worked out examples. Pampel first offers readers a review of some basic concepts, such as exponents, percentage change, and likelihood functions. Next, he describes in some detail how taking the log of the odds eliminates the floor so that the transformation of logistic regression coefficients into coefficients that effect odds and probabilities makes more sense to readers. And, third, he describes maximum likelihood estimation through words and simple samples (along side of the formulas) so as to make the concept more concrete and the procedure easier to comprehend. Throughout the book, he emphasizes examples, explanations, and how to interpret the results of each procedure. This book will enable readers to use and understand logistic regression techniques and will serve as a foundation for more advanced treatments of the topic.



