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Applied Logistic Regression

ISBN: 9780470582473 | 0470582472
Edition: 3rd
Format: Hardcover
Publisher: Wiley
Pub. Date: 4/1/2013

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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.


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