Applied Logistic Regression by David W Hosmer

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Summary

This book discusses how to model a binary outcome variable from a linear regression analysis point of view. It develops the logistic regression model and describes its use in methods for modeling the relationship between a dichotomous outcome variable and a set of covariates.

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Applied Logistic Regression by David W Hosmer

This book discusses how to model a binary outcome variable from a linear regression analysis point of view. It develops the logistic regression model and describes its use in methods for modelling the relationship between a dichotomous outcome variable and a set of covariates. Discussion of the interpretation of this model follows. The text includes several data sets which are the source of the examples and exercises. The book also uses a number of software packages, including BMDP, EGRET, GLIM, SAS, and SYSTAT, to analyze data sets.
SKU Unavailable
ISBN 13 9780471615538
ISBN 10 0471615536
Title Applied Logistic Regression
Author David W Hosmer
Series Probability And Mathematical Statistics S
Condition Unavailable
Binding Type Hardback
Publisher John Wiley and Sons Ltd
Year published 1989-07-31
Number of pages 322
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.