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Applied Logistic Regression David W. Hosmer

Applied Logistic Regression By David W. Hosmer

Applied Logistic Regression by David W. Hosmer


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.

Applied Logistic Regression Summary

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.

Table of Contents

The multiple logistic regression model; interpretation of the coefficients of the logistic regression model; model building strategies and methods for logistic regression; assessing of the fit of the model; application of logistic regression with different sampling models; logistic regression for matched case-control studies; special topics.

Additional information

GOR003067663
9780471615538
0471615536
Applied Logistic Regression by David W. Hosmer
Used - Very Good
Hardback
John Wiley and Sons Ltd
1989-07-31
322
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us

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