Shows how to model a binary outcome variable from a linear regression analysis point of view. 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. Following establishment of the model there is discussion of its interpretation. Several data sets are the source of the examples and the exercises, and a number of software packages are used to analyze data sets, including BMDP, EGRET, GLIM, SAS, and SYSTAT.
Applied Logistic Regression (Wiley Series in Probability and Statistics - Applied Probability and Statistics Section)
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Applied Logistic Regression (Wiley Series in Probability and Statistics - Applied Probability and Statistics Section)
- UPC:
- 9780471615538
- Maximum Purchase:
- 2 units
- Binding:
- Hardcover
- Publication Date:
- 1989-07-21
- Author:
- David W. Hosmer Jr.;Stanley Lemeshow
- Language:
- english
- Edition:
- 1
Applied Statistics and Probability for Engineers
$42.18 - $52.72
Brand: World Scientific Publishing Company
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