| Title : | Applied Logistic Regression Analysis |
| Material Type: | printed text |
| Authors: | Scott Menard, Author |
| Publisher: | London : Sage Publications |
| Publication Date: | 2001 |
| Series: | Quantitative aplications in the social sciences No. 106 |
| Pagination: | vii, 111 p. |
| Size: | 21 cm |
| ISBN (or other code): | 978-0-7619-2208-7 |
| Price: | 16.67 euro |
| General note: | Includes bibliographical notes (p.103-106)
Includes index (p.107)
Includes bibliographical references (p.108-110)
|
| Languages : | English (eng) Original Language : English (eng) |
| Descriptors: | Regression analysis
Statistics
|
| Class number: | 519.5 |
| Abstract: | The focus in this Second Edition is on logistic regression models for individual level (but aggregate or grouped) data. Multiple cases for each possible combination of values of the predictors are considered in detail and examples using SAS and SPSS included. New to this edition: * More detailed consideration of grouped as opposed to case-wise data throughout the book * Updated discussion of the properties and appropriate use of goodness of fit measures, R2 analogues, and induces of predictive efficiency * Discussion of the misuse of odds ratios to represent risk ratios, and of over dispersion and under dispersion for grouped data * Updated coverage of unordered and ordered polytomous logistic regression models. |
| Contents note: | Linear Regression and Logistic Regression Model; Summary Statistics for Evaluating the Logistic Regression Model; Interpreting the Logistic Regression Coefficients; An Introduction to Logistic Regression Diagnosis Ch; Polytomous Logistic Regression and Alternatives to Logistic Regression; |
| Record link: | https://library.seeu.edu.mk/index.php?lvl=notice_display&id=14314 |
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