Logistic Regression

A Primer
Fred C. Pampel - University of Colorado - Boulder, USA
Logistic Regression
96 pages | Sage US
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Description

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.

Learn more about "The Little Green Book" - QASS Series! Click Here


Contents

The Logic of Logistic Regression

The Logic of Logistic Regression

Interpreting Logistic Regression Coefficients

Interpreting Logistic Regression Coefficients

Estimation and Model Fit

Estimation and Model Fit

Probit Analysis

Probit Analysis

Conclusion

Conclusion

Description

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.

Learn more about "The Little Green Book" - QASS Series! Click Here


Contents

The Logic of Logistic Regression

The Logic of Logistic Regression

Interpreting Logistic Regression Coefficients

Interpreting Logistic Regression Coefficients

Estimation and Model Fit

Estimation and Model Fit

Probit Analysis

Probit Analysis

Conclusion

Conclusion

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Logistic Regression

A Primer


96 pages | Sage US

Format Published Date ISBN Price

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.

Learn more about "The Little Green Book" - QASS Series! Click Here



Table Of Contents:

  • The Logic of Logistic Regression
  • Interpreting Logistic Regression Coefficients
  • Estimation and Model Fit
  • Probit Analysis
  • Conclusion

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