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RECORD NUMBER: 9 OF 15

Main Title Logistic regression : a self-learning text /
Author Kleinbaum, David G.
Other Authors
Author Title of a Work
Klein, Mitchel.
Pryor, Erica Rihl.
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
Description Access URL
Publisher description http://catdir.loc.gov/catdir/enhancements/fy1316/2009943538-d.html
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.