07826cam a2200949 i 4500 ocn830124707 OCoLC 20171107092657.0 m o d cr ||||||||||| 130314s2013 nju ob 001 0 eng 2013010300 9781118548356 (ePub) 1118548353 (ePub) 9781118548394 (Adobe PDF) 1118548396 (Adobe PDF) 9781118548417 (MobiPocket) 1118548418 (MobiPocket) 9781118548387 1118548388 9780470582473 (hardback) 0470582472 (hardback) AU@ 000050651147 AU@ 000052007020 AU@ 000052915011 CHBIS 010131663 CHNEW 000721705 CHVBK 314711031 CHVBK 338945318 DEBBG BV041432415 DEBBG BV041908011 DEBBG BV041912889 DEBSZ 398283311 DKDLA 820120-katalog:000601262 DKDLA 820120-katalog:000651627 NZ1 15341655 NZ1 15549962 DEBBG BV043395613 (OCoLC)830124707 (OCoLC)847619318 (OCoLC)858284022 (OCoLC)880902971 (OCoLC)887905711 (OCoLC)961639586 (OCoLC)962653090 CL0500000291 Safari Books Online 46DB4358-AA78-46C9-8F7E-43BF7B650FF5 OverDrive, Inc. http://www.overdrive.com DLC eng rda pn DLC CDX IDEBK N$T MEU CUS CUI TEFOD VLB OCLCF IUL COO YDXCP E7B DG1 UMI UPM DEBSZ DKDLA AU@ DEBBG OCLCQ pcc MAIN QA278.2 MAT 029030 bisacsh 519.5/36 23 MAT029030 bisacsh Hosmer, David W. Applied logistic regression / [electronic resource] Third edition / David W. Hosmer, Jr., PhD, Stanley Lemeshow, PhD, Rodney X. Sturdivant, PhD. Hoboken, New Jersey : Wiley, [2013] 1 online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier Wiley series in probability and statistics Includes bibliographical references and index. Applied Logistic Regression; Contents; Preface to the Third Edition; 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; 1.6.1 The ICU Study; 1.6.2 The Low Birth Weight Study; 1.6.3 The Global Longitudinal Study of Osteoporosis in Women; 1.6.4 The Adolescent Placement Study; 1.6.5 The Burn Injury Study; 1.6.6 The Myopia Study; 1.6.7 The NHANES Study. 1.6.8 The Polypharmacy StudyExercises; 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 Estimation; 2.6 Other Estimation Methods; Exercises; 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 x 2 TablesExercises; 4 Model-Building Strategies and Methods for Logistic Regression; 4.1 Introduction; 4.2 Purposeful Selection of Covariates; 4.2.1 Methods to Examine the Scale of a Continuous Covariate in the Logit; 4.2.2 Examples of Purposeful Selection; 4.3 Other Methods for Selecting Covariates; 4.3.1 Stepwise Selection of Covariates; 4.3.2 Best Subsets Logistic Regression; 4.3.3 Selecting Covariates and Checking their Scale Using Multivariable Fractional Polynomials; 4.4 Numerical Problems; Exercises. 5 Assessing the Fit of the Model5.1 Introduction; 5.2 Summary Measures of Goodness of Fit; 5.2.1 Pearson Chi-Square Statistic, Deviance, and Sum-of-Squares; 5.2.2 The Hosmer-Lemeshow Tests; 5.2.3 Classification Tables; 5.2.4 Area Under the Receiver Operating Characteristic Curve; 5.2.5 Other Summary Measures; 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; 6 Application of Logistic Regression with Different Sampling Models; 6.1 Introduction. 6.2 Cohort Studies6.3 Case-Control Studies; 6.4 Fitting Logistic Regression Models to Data from Complex Sample Surveys; Exercises; 7 Logistic Regression for Matched Case-Control Studies; 7.1 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 1-1 Matched Study; 7.4 An Example Using the Logistic Regression Model in a 1-M Matched Study; Exercises; 8 Logistic Regression Models for Multinomial and Ordinal Outcomes; 8.1 The Multinomial Logistic Regression Model. 8.1.1 Introduction to the Model and Estimation of Model Parameters. "A new edition of the definitive guide to logistic regression modeling for health science and other applicationsThis 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 state-of-the-art techniques for building, interpreting, and assessing the performance of LR models. New and updated features include: A chapter on the analysis of correlated outcome data. A wealth of additional material for topics ranging from Bayesian methods to assessing model fit Rich data sets from real-world studies that demonstrate each method under discussion. Detailed examples and interpretation of the presented results as well as exercises throughout Applied Logistic Regression, Third Edition is a must-have guide for professionals and researchers who need to model nominal or ordinal scaled outcome variables in public health, medicine, and the social sciences as well as a wide range of other fields and disciplines"-- Provided by publisher. "This Third Edition continues to focus on applications and interpretation of results from fitting regression models to categorical response variables"-- Provided by publisher. Print version record and CIP data provided by publisher. Regression analysis. Computer adaptive testing. Logistic regression. Regression analysis. MATHEMATICS Probability & Statistics Regression Analysis. bisacsh Regression analysis. fast (OCoLC)fst01432090 Regression analysis. local Electronic books. Lemeshow, Stanley. Sturdivant, Rodney X. Print version: Hosmer, David W. Applied logistic regression. Third edition. Hoboken, New Jersey : Wiley, [2013] 9780470582473 (DLC) 2013000403 (OCoLC)829999551 Wiley series in probability and statistics. http://onlinelibrary.wiley.com/book/10.1002/9781118548387 Wiley Online Library ddc BK 206574 206574