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Applied Logistic Regression Analysis
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Bibliographic Detail
Publisher Sage Pubns
Publication date October 9, 2001
Pages 111
Binding Paperback
Edition 2
Book category Adult Non-Fiction
ISBN-13 9780761922087
ISBN-10 0761922083
Dimensions 0.50 by 5.75 by 8.75 in.
Weight 0.35 lbs.
Original list price $22.00
Summaries and Reviews
Amazon.com description: Product Description: The focus in this Second Edition is again on logistic regression models for individual level data, but aggregate or grouped data are also considered. The book includes detailed discussions of goodness of fit, indices of predictive efficiency, and standardized logistic regression coefficients, and examples using S.A.S. and S.P.S.S. are included. 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, R-square analogues, and indices 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. 

Editions
Paperback
Book cover for 9780761922087 Book cover for 9780803957572
 
The price comparison is for this edition
2 edition from Sage Pubns (October 9, 2001)
9780761922087 | details & prices | 111 pages | 5.75 × 8.75 × 0.50 in. | 0.35 lbs | List price $22.00
About: The focus in this Second Edition is again on logistic regression models for individual level data, but aggregate or grouped data are also considered.
from Sage Pubns (August 1, 1995)
9780803957572 | details & prices | 5.50 × 8.50 × 0.50 in. | 0.25 lbs | List price $16.95
About: Emphasizing the parallels between linear and logistic regression, Scott Menard explores logistic regression analysis and demonstrates its usefulness in analyzing dichotomous, polytomous nominal, and polytomous ordinal dependent variables.

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