Applied Logistic Regression
Applied Logistic Regression
- ISBN 13:
9780470582473
- ISBN 10:
0470582472
- Edition: 3rd
- Format: Hardcover
- Copyright: 04/01/2013
- Publisher: Wiley
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Summary
This new edition provides a focused introduction to the LR model and its use in methods for modeling the relationship between a dichotomous outcome variable and a set of covariables. It presents expanded coverage on random effects models, estimation in the presence of interaction, and fractional polynomials; offers discussions on Bayesian logistic regression, likelihood based confidence interval estimates, tests for non-nested models, and multivariable fractional polynomials; includes R language and updated SAS, STATA, and BUGS computer code for analyzing data sets; and more.