Applied Logistic Regression

Name: Applied Logistic Regression
Price: 7.25 USD
Availability: InStock
ISBN: 9780471356325

ISBN-10: 0471356328

ISBN-13: 9780471356325

Edition: 2nd 2000 (Revised)

Authors: David W. Hosmer, Stanley Lemeshow, David W. Hosmer

List price: $165.00

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Since the late 1960s the logistic regression (LR) model has become the standard method for regression analysis in many fields. This text offers an introduction to the LR model and examines its use in methods for modelling.

Book details

List price: $165.00
Edition: 2nd
Copyright year: 2000
Publisher: John Wiley & Sons, Incorporated
Publication date: 9/27/2000
Binding: Hardcover
Pages: 392
Size: 6.25" wide x 9.25" long x 1.00" tall
Weight: 1.628




Introduction to the Logistic Regression Model



Introduction



Fitting the Logistic Regression Model



Testing for the Significance of the Coefficients



Confidence Interval Estimation



Other Methods of Estimation



Data Sets



The ICU Study



The Low Birth Weight Study



The Prostate Cancer Study



The UMARU IMPACT Study


Exercises



Multiple Logistic Regression



Introduction



The Multiple Logistic Regression Model



Fitting the Multiple Logistic Regression Model



Testing for the Significance of the Model



Confidence Interval Estimation



Other Methods of Estimation


Exercises



Interpretation of the Fitted Logistic Regression Model



Introduction



Dichotomous Independent Variable



Polychotomous Independent Variable



Continuous Independent Variable



The Multivariable Model



Interaction and Confounding



Estimation of Odds Ratios in the Presence of Interaction



A Comparison of Logistic Regression and Stratified Analysis for 2 [times] 2 Tables



Interpretation of the Fitted Values


Exercises



Model-Building Strategies and Methods for Logistic Regression



Introduction



Variable Selection



Stepwise Logistic Regression



Best Subsets Logistic Regression



Numerical Problems


Exercises



Assessing the Fit of the Model



Introduction



Summary Measures of Goodness-of-Fit



Pearson Chi-Square Statistic and Deviance



The Hosmer-Lemeshow Tests



Classification Tables



Area Under the ROC Curve



Other Summary Measures



Logistic Regression Diagnostics



Assessment of Fit via External Validation



Interpretation and Presentation of Results from a Fitted Logistic Regression Model


Exercises



Application of Logistic Regression with Different Sampling Models



Introduction



Cohort Studies



Case-Control Studies



Fitting Logistic Regression Models to Data from Complex Sample Surveys


Exercises



Logistic Regression for Matched Case-Control Studies



Introduction



Logistic Regression Analysis for the 1-1 Matched Study



An Example of the Use of the Logistic Regression Model in a 1-1 Matched Study



Assessment of Fit in a Matched Study



An Example of the Use of the Logistic Regression Model in a 1-M Matched Study



Methods for Assessment of Fit in a 1-M Matched Study



An Example of Assessment of Fit in a 1-M Matched Study


Exercises



Special Topics



The Multinomial Logistic Regression Model



Introduction to the Model and Estimation of the Parameters



Interpreting and Assessing the Significance of the Estimated Coefficients



Model-Building Strategies for Multinomial Logistic Regression



Assessment of Fit and Diagnostics for the Multinomial Logistic Regression Model



Ordinal Logistic Regression Models



Introduction to the Models, Methods for Fitting and Interpretation of Model Parameters



Model Building Strategies for Ordinal Logistic Regression Models



Logistic Regression Models for the Analysis of Correlated Data



Exact Methods for Logistic Regression Models



Sample Size Issues When Fitting Logistic Regression Models


Exercises


References


Index