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Item Details
Title:
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APPLIED LOGISTIC REGRESSION ANALYSIS
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By: |
Scott Menard |
Format: |
Paperback |

List price:
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£36.99 |
Our price: |
£33.29 |
Discount: |
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You save:
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£3.70 |
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ISBN 10: |
0761922083 |
ISBN 13: |
9780761922087 |
Availability: |
Usually dispatched within 1-3 weeks.
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Stock: |
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Publisher: |
SAGE PUBLICATIONS INC |
Pub. date: |
9 October, 2001 |
Edition: |
2nd Revised edition |
Series: |
Quantitative Applications in the Social Sciences |
Pages: |
128 |
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 SAS and SPSS 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. |
Synopsis: |
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 casewise data throughout the book* Updated discussion of the properties and appropriate use of goodness of fit measures, R2 analogues, and indices of predictive efficiency* Discussion of the misuse of odds ratios to represent risk ratios, and of overdispersion and underdispersion for grouped data* Updated coverage of unordered and ordered polytomous logistic regression models. |
Publication: |
US |
Imprint: |
SAGE Publications Inc |
Returns: |
Returnable |
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