| Main Title |
Logistic regression : a self-learning text / |
| Author |
Kleinbaum, David G.
|
| Other Authors |
|
| Publisher |
Springer, |
| Year Published |
2010 |
| OCLC Number |
656251300 |
| ISBN |
9781441917416; 1441917411; 9781441917423; 144191742X |
| Subjects |
Medicine--Research--Statistical methods ;
Regression analysis ;
Logistic distribution ;
Regressionsanalyse ;
Logistische Verteilung ;
Statistische Schlussweise ;
Biostatistik ;
Medizinische Statistik ;
Biometrie ;
Biometry--methods ;
Models, Statistical
|
| Internet Access |
|
| Holdings |
| Library |
Call Number |
Additional Info |
Location |
Last
Modified |
Checkout
Status |
| EKBM |
R853.S7K54 2010 |
|
Research Triangle Park Library/RTP, NC |
09/27/2017 |
|
| Edition |
3rd ed. |
| Collation |
xvii, 701 pages : illustrations ; 25 cm. |
| Notes |
Includes bibliographical references (pages 691-693) and index. |
| Contents Notes |
Introduction to logistic regression -- Important special cases of the logistic model -- Computing the odds ratio in logistic regression -- Maximum likelihood techniques: an overview -- Statistical inferences using maximum likelihood techniques -- Modeling strategy guideline -- Modeling strategy for assessing interaction and confounding -- Additional modeling strategy issues -- Assessing goodness of fit for logistic regression -- Assessing discriminatory performance of a binary logistic model: ROC curves -- Analysis of matched data using logistic regression -- Polytomous logistic regression -- Ordinal logistic regression -- Logistic regression for correlated data: GEE -- GEE examples -- Other approaches for analysis of correlated data -- Computer programs for logistic regression. |
