Logistic regression : from introductory to advanced concepts and applications /
This text begins by showing how logistic regression combines aspects of multiple linear regression and loglinear analysis to overcome problems both techniques have with the analysis of dichotomous dependent variables with continuous predictors. It then examines what can go wrong with the model and h...
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| Format: | eBook |
| Language: | English |
| Published: |
Thousand Oaks, Calif. ; London :
SAGE,
[2010]
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | This text begins by showing how logistic regression combines aspects of multiple linear regression and loglinear analysis to overcome problems both techniques have with the analysis of dichotomous dependent variables with continuous predictors. It then examines what can go wrong with the model and how to detect and correct it. |
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| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (xiii, 377 pages) : illustrations. |
| Bibliography: | Includes bibliographical references and indexes. |
| ISBN: | 9781483348964 (ebook) : |