Item Details
Applied Logistic Regression [electronic resource]
Hosmer, David W; Lemeshow, Stanley; Sturdivant, Rodney X
 Format
 EBook; Book; Online
 Published
 Chicester : Wiley, 2013.
 Edition
 3rd ed
 Language
 English
 Related Title
 Virtual Library of Virginia EBL DDA purchased title
 Series
 Wiley Series in Probability and Statistics
 ISBN
 9781118548356, 1118548353
 Summary
 A new edition of the definitive guide to logistic regression modeling for health science and other applications This thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression (LR) model and highlights the power of this model by examining the relationship between a dichotomous outcome and a set of covariables. Applied Logistic Regression, Third Edition emphasizes applications in the health sciences and handpicks topics that best suit the use of modern statistical software. The book provides readers with stateof
 Contents
 Cover; Series; Title Page; Copyright; Dedication; Preface to the Third Edition; Chapter 1: Introduction to the Logistic Regression Model; 1.1 Introduction; 1.2 Fitting the Logistic Regression Model; 1.3 Testing for the Significance of the Coefficients; 1.4 Confidence Interval Estimation; 1.5 Other Estimation Methods; 1.6 Data Sets Used in Examples and Exercises; Exercises; Chapter 2: The Multiple Logistic Regression Model; 2.1 Introduction; 2.2 The Multiple Logistic Regression Model; 2.3 Fitting the Multiple Logistic Regression Model; 2.4 Testing for the Significance of the Model.
 2.5 Confidence Interval Estimation2.6 Other Estimation Methods; Exercises; Chapter 3: Interpretation of the Fitted Logistic Regression Model; 3.1 Introduction; 3.2 Dichotomous Independent Variable; 3.3 Polychotomous Independent Variable; 3.4 Continuous Independent Variable; 3.5 Multivariable Models; 3.6 Presentation and Interpretation of the Fitted Values; 3.7 A Comparison of Logistic Regression and Stratified Analysis for 2 × 2 Tables; Exercises; Chapter 4: ModelBuilding Strategies and Methods for Logistic Regression; 4.1 Introduction; 4.2 Purposeful Selection of Covariates.
 4.3 Other Methods for Selecting Covariates4.4 Numerical Problems; Exercises; Chapter 5: Assessing the Fit of the Model; 5.1 Introduction; 5.2 Summary Measures of Goodness of Fit; 5.3 Logistic Regression Diagnostics; 5.4 Assessment of Fit Via External Validation; 5.5 Interpretation and Presentation of the Results from a Fitted Logistic Regression Model; Exercises; Chapter 6: Application of Logistic Regression with Different Sampling Models; 6.1 Introduction; 6.2 Cohort Studies; 6.3 CaseControl Studies; 6.4 Fitting Logistic Regression Models to Data From Complex Sample Surveys; Exercises.
 Chapter 7: Logistic Regression for Matched CaseControl Studies7.1 Introduction; 7.2 Methods For Assessment of Fit in a 1 M Matched Study; 7.3 An Example Using the Logistic Regression Model in a Matched Study; 7.4 An Example Using the Logistic Regression Model in a Matched Study; Exercises; Chapter 8: Logistic Regression Models for Multinomial and Ordinal Outcomes; 8.1 The Multinomial Logistic Regression Model; 8.2 Ordinal Logistic Regression Models; Exercises; Chapter 9: Logistic Regression Models for the Analysis of Correlated Data; 9.1 Introduction.
 9.2 Logistic Regression Models for the Analysis of Correlated Data9.3 Estimation Methods for Correlated Data Logistic Regression Models; 9.4 Interpretation of Coefficients From Logistic Regression Models for the Analysis of Correlated Data; 9.5 An Example of Logistic Regression Modeling with Correlated Data; 9.6 Assessment of Model Fit; Exercises; Chapter 10: Special Topics; 10.1 Introduction; 10.2 Application of Propensity Score Methods in Logistic Regression Modeling; 10.3 Exact Methods for Logistic Regression Models; 10.4 Missing Data.
 Description
 1 online resource (767 pages).
 Notes
 10.5 Sample Size Issues When Fitting Logistic Regression Models.
 Copyright & PermissionsRights statements and licenses provide information about copyright and reuse associated with individual items in the collection.
 Copyright Not Evaluated
 Technical Details

 Staff View
LEADER 05256cam a2200553Mu 4500001 ocn830163779003 OCoLC005 20141006061506.5006 m o d007 cr 008 130316s2013 xx o 000 0 eng da EBLCP b eng e pn c EBLCP d OCLCO d MHW d YDXCP d RECBK d TPH d OCLCF d OCLCQ d OCLCOa 9781118548356a 1118548353a (OCoLC)830163779a QA278.2 .H67 2013a Online Booka 519.536a MAINa Hosmer, David W.a Applied Logistic Regression h [electronic resource].a 3rd ed.a Chicester : b Wiley, c 2013.a 1 online resource (767 pages).a text b txt 2 rdacontenta computer b c 2 rdamediaa online resource b cr 2 rdacarriera Wiley Series in Probability and Statisticsa Cover; Series; Title Page; Copyright; Dedication; Preface to the Third Edition; Chapter 1: Introduction to the Logistic Regression Model; 1.1 Introduction; 1.2 Fitting the Logistic Regression Model; 1.3 Testing for the Significance of the Coefficients; 1.4 Confidence Interval Estimation; 1.5 Other Estimation Methods; 1.6 Data Sets Used in Examples and Exercises; Exercises; Chapter 2: The Multiple Logistic Regression Model; 2.1 Introduction; 2.2 The Multiple Logistic Regression Model; 2.3 Fitting the Multiple Logistic Regression Model; 2.4 Testing for the Significance of the Model.a 2.5 Confidence Interval Estimation2.6 Other Estimation Methods; Exercises; Chapter 3: Interpretation of the Fitted Logistic Regression Model; 3.1 Introduction; 3.2 Dichotomous Independent Variable; 3.3 Polychotomous Independent Variable; 3.4 Continuous Independent Variable; 3.5 Multivariable Models; 3.6 Presentation and Interpretation of the Fitted Values; 3.7 A Comparison of Logistic Regression and Stratified Analysis for 2 × 2 Tables; Exercises; Chapter 4: ModelBuilding Strategies and Methods for Logistic Regression; 4.1 Introduction; 4.2 Purposeful Selection of Covariates.a 4.3 Other Methods for Selecting Covariates4.4 Numerical Problems; Exercises; Chapter 5: Assessing the Fit of the Model; 5.1 Introduction; 5.2 Summary Measures of Goodness of Fit; 5.3 Logistic Regression Diagnostics; 5.4 Assessment of Fit Via External Validation; 5.5 Interpretation and Presentation of the Results from a Fitted Logistic Regression Model; Exercises; Chapter 6: Application of Logistic Regression with Different Sampling Models; 6.1 Introduction; 6.2 Cohort Studies; 6.3 CaseControl Studies; 6.4 Fitting Logistic Regression Models to Data From Complex Sample Surveys; Exercises.a Chapter 7: Logistic Regression for Matched CaseControl Studies7.1 Introduction; 7.2 Methods For Assessment of Fit in a 1 M Matched Study; 7.3 An Example Using the Logistic Regression Model in a Matched Study; 7.4 An Example Using the Logistic Regression Model in a Matched Study; Exercises; Chapter 8: Logistic Regression Models for Multinomial and Ordinal Outcomes; 8.1 The Multinomial Logistic Regression Model; 8.2 Ordinal Logistic Regression Models; Exercises; Chapter 9: Logistic Regression Models for the Analysis of Correlated Data; 9.1 Introduction.a 9.2 Logistic Regression Models for the Analysis of Correlated Data9.3 Estimation Methods for Correlated Data Logistic Regression Models; 9.4 Interpretation of Coefficients From Logistic Regression Models for the Analysis of Correlated Data; 9.5 An Example of Logistic Regression Modeling with Correlated Data; 9.6 Assessment of Model Fit; Exercises; Chapter 10: Special Topics; 10.1 Introduction; 10.2 Application of Propensity Score Methods in Logistic Regression Modeling; 10.3 Exact Methods for Logistic Regression Models; 10.4 Missing Data.a 10.5 Sample Size Issues When Fitting Logistic Regression Models.a A new edition of the definitive guide to logistic regression modeling for health science and other applications This thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression (LR) model and highlights the power of this model by examining the relationship between a dichotomous outcome and a set of covariables. Applied Logistic Regression, Third Edition emphasizes applications in the health sciences and handpicks topics that best suit the use of modern statistical software. The book provides readers with stateofa Regression analysis.a Logistic Models.a Regression analysis. 2 fast 0 (OCoLC)fst01432090a Electronic books.a Lemeshow, Stanley.a Sturdivant, Rodney X.a Virtual Library of Virginia EBL DDA purchased titlei Print version: a Hosmer, David W. t Applied Logistic Regression. d Chicester : Wiley, ©2013 z 9780470582473a Wiley series in probability and statistics.u http://proxy.its.virginia.edu/login?url=http://viva.eblib.com/patron/FullRecord.aspx?p=1138225&userid=^u&conl=UVA&echo=1a EBL  Ebook Library b EBLB n EBL1138225a Recorded Books, LLC b RECE n rbeEB00063866a YBP Library Services b YANK n 10404677a 92 b VA@w WEB l INTERNET m UVALIB t INTERNET
 Staff View