Applied Logistic Regression

Applied Logistic Regression

From the reviews of the First Edition.

Author: David W. Hosmer, Jr.

Publisher: John Wiley & Sons

ISBN: 9780471654025

Category: Mathematics

Page: 392

View: 332

Categories: Mathematics

Applied Logistic Regression

Applied Logistic Regression

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 ...

Author: David W. Hosmer, Jr.

Publisher: John Wiley & Sons

ISBN: 9780470582473

Category: Mathematics

Page: 528

View: 744

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 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.
Categories: Mathematics

Applied Logistic Regression Second Edition Book and Solutions Manual Set

Applied Logistic Regression  Second Edition  Book and Solutions Manual Set

From the reviews of the First Edition.

Author: David W. Hosmer, Jr.

Publisher: Wiley-Interscience

ISBN: 0471225894

Category: Mathematics

Page: 672

View: 503

From the reviews of the First Edition. "An interesting, useful, and well-written book on logistic regression models . . . Hosmer and Lemeshow have used very little mathematics, have presented difficult concepts heuristically and through illustrative examples, and have included references." —Choice "Well written, clearly organized, and comprehensive . . . the authors carefully walk the reader through the estimation of interpretation of coefficients from a wide variety of logistic regression models . . . their careful explication of the quantitative re-expression of coefficients from these various models is excellent." —Contemporary Sociology "An extremely well-written book that will certainly prove an invaluable acquisition to the practicing statistician who finds other literature on analysis of discrete data hard to follow or heavily theoretical." —The Statistician In this revised and updated edition of their popular book, David Hosmer and Stanley Lemeshow continue to provide an amazingly accessible introduction to the logistic regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets. Hosmer and Lemeshow extend the discussion from biostatistics and epidemiology to cutting-edge applications in data mining and machine learning, guiding readers step-by-step through the use of modeling techniques for dichotomous data in diverse fields. Ample new topics and expanded discussions of existing material are accompanied by a wealth of real-world examples-with extensive data sets available over the Internet.
Categories: Mathematics

Applied Logistic Regression Analysis

Applied Logistic Regression Analysis

The book is aimed at readers with a background in bivariate and multiple linear regression.

Author: Scott Menard

Publisher: SAGE Publications, Incorporated

ISBN: UOM:39015037446286

Category: Social Science

Page: 98

View: 908

Emphasizing the parallels between linear and logistic regression, Scott Menard explores logistic regression analysis and demonstrates its usefulness in analyzing dichotomous, polytomous nominal, and polytomous ordinal dependent variables. The book is aimed at readers with a background in bivariate and multiple linear regression.
Categories: Social Science

Solutions Manual to accompany Applied Logistic Regression

Solutions Manual to accompany Applied Logistic Regression

Presenting information on logistic regression models, this work explains difficult concepts through illustrative examples. This is a solutions manual to accompany applied Logistic Regression, 2nd Edition.

Author: David W. Hosmer, Jr.

Publisher: Wiley-Interscience

ISBN: 0471208264

Category: Mathematics

Page: 280

View: 896

Presenting information on logistic regression models, this work explains difficult concepts through illustrative examples. This is a solutions manual to accompany applied Logistic Regression, 2nd Edition.
Categories: Mathematics

Applied Survival Analysis

Applied Survival Analysis

This book places a unique emphasis on the practical and contemporary applications of regression modeling rather than the mathematical theory.

Author: David W. Hosmer, Jr.

Publisher: John Wiley & Sons

ISBN: 9781118211588

Category: Mathematics

Page: 416

View: 433

THE MOST PRACTICAL, UP-TO-DATE GUIDE TO MODELLING AND ANALYZING TIME-TO-EVENT DATA—NOW IN A VALUABLE NEW EDITION Since publication of the first edition nearly a decade ago, analyses using time-to-event methods have increase considerably in all areas of scientific inquiry mainly as a result of model-building methods available in modern statistical software packages. However, there has been minimal coverage in the available literature to9 guide researchers, practitioners, and students who wish to apply these methods to health-related areas of study. Applied Survival Analysis, Second Edition provides a comprehensive and up-to-date introduction to regression modeling for time-to-event data in medical, epidemiological, biostatistical, and other health-related research. This book places a unique emphasis on the practical and contemporary applications of regression modeling rather than the mathematical theory. It offers a clear and accessible presentation of modern modeling techniques supplemented with real-world examples and case studies. Key topics covered include: variable selection, identification of the scale of continuous covariates, the role of interactions in the model, assessment of fit and model assumptions, regression diagnostics, recurrent event models, frailty models, additive models, competing risk models, and missing data. Features of the Second Edition include: Expanded coverage of interactions and the covariate-adjusted survival functions The use of the Worchester Heart Attack Study as the main modeling data set for illustrating discussed concepts and techniques New discussion of variable selection with multivariable fractional polynomials Further exploration of time-varying covariates, complex with examples Additional treatment of the exponential, Weibull, and log-logistic parametric regression models Increased emphasis on interpreting and using results as well as utilizing multiple imputation methods to analyze data with missing values New examples and exercises at the end of each chapter Analyses throughout the text are performed using Stata® Version 9, and an accompanying FTP site contains the data sets used in the book. Applied Survival Analysis, Second Edition is an ideal book for graduate-level courses in biostatistics, statistics, and epidemiologic methods. It also serves as a valuable reference for practitioners and researchers in any health-related field or for professionals in insurance and government.
Categories: Mathematics

Logistic Regression

Logistic Regression

Logistic Regression is designed for readers who have a background in statistics at least up to multiple linear regression, who want to analyze dichotomous, nominal, and ordinal dependent variables cross-sectionally and longitudinally.

Author: Scott Menard

Publisher: SAGE

ISBN: 9781412974837

Category: Social Science

Page: 377

View: 779

Logistic Regression is designed for readers who have a background in statistics at least up to multiple linear regression, who want to analyze dichotomous, nominal, and ordinal dependent variables cross-sectionally and longitudinally.
Categories: Social Science

Interaction Effects in Logistic Regression

Interaction Effects in Logistic Regression

There also are models that do not rely on the logit function. ... ALLISON, P. (
1999a) Comparing Logit and Probit Coefficients Across Groups. ... HAMILTON,
L. C. (1992) Regression with Graphics: A Second Course in Applied Statistics.
Belmont ...

Author: James Jaccard

Publisher: SAGE

ISBN: 0761922075

Category: Mathematics

Page: 70

View: 859

This book provides an introduction to the analysis of interaction effects in logistic regression by focusing on the interpretation of the coefficients of interactive logistic models for a wide range of situations encountered in the research literature. The volume is oriented toward the applied researcher with a rudimentary background in multiple regression and logistic regression and does not include complex formulas that could be intimidating to the applied researcher.Learn more about "The Little Green Book" - QASS Series! Click Here
Categories: Mathematics

Applied Statistics From Bivariate Through Multivariate Techniques

Applied Statistics  From Bivariate Through Multivariate Techniques

... Moderation: Tests for Interaction in Multiple Regression Chapter 16: Mediation
(Optional: Chapter 23: Binary Logistic Regression) SAGE monographs
suggested as supplements for regression analysis: Applied Logistic Regression
Analysis, ...

Author: Rebecca M. Warner

Publisher: SAGE

ISBN: 9781412991346

Category: Mathematics

Page: 1172

View: 906

Rebecca M. Warner's Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked to think about the meaning of equations. Each chapter presents a complete empirical research example to illustrate the application of a specific method. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions.
Categories: Mathematics

Adequacy of Sample Size in Health Studies

Adequacy of Sample Size in Health Studies

Focusing on the determination of adequate sample sizes under different situations, the book is divided into two parts; the first provides solutions to typical problems of various survey and study designs, and the second offers a clear, ...

Author: Stanley Lemeshow

Publisher: Wiley

ISBN: 0471925179

Category: Medical

Page: 252

View: 845

Practical rather than theoretical, it provides epidemiologists and other health workers with a good basic knowledge of sampling principles and methods and their potential in the medical field. Focusing on the determination of adequate sample sizes under different situations, the book is divided into two parts; the first provides solutions to typical problems of various survey and study designs, and the second offers a clear, concise exposition of the theory behind the processes of determining sample size. Features many reference tables.
Categories: Medical

Credit Scoring Response Modeling and Insurance Rating

Credit Scoring  Response Modeling  and Insurance Rating

Like linear regression, logistic regression producesa linear model of the form S =
a + b 1 x 1 + b 2 x 2 +, ..., + b k x k . Stepwise, forward and backward procedures
are also available. Theseareapplied inasimilar manner to stepwise procedures ...

Author: S. Finlay

Publisher: Springer

ISBN: 9781137031693

Category: Business & Economics

Page: 297

View: 564

A guide on how Predictive Analytics is applied and widely used by organizations such as banks, insurance providers, supermarkets and governments to drive the decisions they make about their customers, demonstrating who to target with a promotional offer, who to give a credit card to and the premium someone should pay for home insurance.
Categories: Business & Economics

Applied Regression Analysis and Other Multivariable Methods

Applied Regression Analysis and Other Multivariable Methods

This chapter describes the logistic model form and several ofits key features—
particularly how an odds ratio can be estimated via its use. We also demonstrate
how logistic regression may be applied using a real-life data set. Maximum ...

Author: David G. Kleinbaum

Publisher: Cengage Learning

ISBN: 9781285963754

Category: Mathematics

Page: 1072

View: 780

This bestseller will help you learn regression-analysis methods that you can apply to real-life problems. It highlights the role of the computer in contemporary statistics with numerous printouts and exercises that you can solve using the computer. The authors continue to emphasize model development, the intuitive logic and assumptions that underlie the techniques covered, the purposes, advantages, and disadvantages of the techniques, and valid interpretations of those techniques. Available with InfoTrac Student Collections http://gocengage.com/infotrac. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Categories: Mathematics

Applied Regression Including Computing and Graphics

Applied Regression Including Computing and Graphics

A step-by-step guide to computing and graphics in regression analysis In this unique book, leading statisticians Dennis Cook and Sanford Weisberg expertly blend regression fundamentals and cutting-edge graphical techniques.

Author: R. Dennis Cook

Publisher: John Wiley & Sons

ISBN: 9780470317785

Category: Mathematics

Page: 632

View: 168

A step-by-step guide to computing and graphics in regression analysis In this unique book, leading statisticians Dennis Cook and Sanford Weisberg expertly blend regression fundamentals and cutting-edge graphical techniques. They combine and up- date most of the material from their widely used earlier work, An Introduction to Regression Graphics, and Weisberg's Applied Linear Regression; incorporate the latest in statistical graphics, computing, and regression models; and wind up with a modern, fully integrated approach to one of the most important tools of data analysis. In 23 concise, easy-to-digest chapters, the authors present:? A wealth of simple 2D and 3D graphical techniques, helping visualize results through graphs * An improved version of the user-friendly Arc software, which lets readers promptly implement new ideas * Complete coverage of regression models, including logistic regression and generalized linear models * More than 300 figures, easily reproducible on the computer * Numerous examples and problems based on real data * A companion Web site featuring free software and advice, available at www.wiley.com/mathem atics Accessible, self-contained, and fully referenced, Applied Regression Including Computing and Graphics assumes only a first course in basic statistical methods and provides a bona fide user manual for the Arc software. It is an invaluable resource for anyone interested in learning how to analyze regression problems with confidence and depth.
Categories: Mathematics

Logit and Probit

Logit and Probit

For ordinary least squares (OLS) to yield BLUE estimators, the classical
regression assumptions must be met. Some of these assumptions are ... 106,
Applied Logistic Regression Analysis, by Menard; and No. 132, Logistic
Regression: A ...

Author: Vani Kant Borooah

Publisher: SAGE

ISBN: 0761922423

Category: Mathematics

Page: 97

View: 710

This book discusses the estimation, simulation, and interpretation of models with multiple outcomes, when these outcomes are either ordered or unordered, against the backdrop of examples relating to socioeconomic inequality. The book includes exposition of the important distinction between odds-ratios and risk-ratios, logit versus probit (and, vice-versa) as well as a step-by-step explanation of the practical computing procedures that underpin the analysis.
Categories: Mathematics

Sampling of Populations

Sampling of Populations

Maintaining the clear and accessible style of the previous edition, this book outlines the essential statistical methodsfor survey design and analysis, while also exploring techniques that have developed over the past decade.

Author: Paul S. Levy

Publisher: John Wiley & Sons

ISBN: 9781118627310

Category: Medical

Page: 616

View: 145

A trusted classic on the key methods in population sampling—now in a modernized and expanded new edition Sampling of Populations, Fourth Edition continues to serve as an all-inclusive resource on the basic and most current practices in population sampling. Maintaining the clear and accessible style of the previous edition, this book outlines the essential statistical methodsfor survey design and analysis, while also exploring techniques that have developed over the past decade. The Fourth Edition successfully guides the reader through the basic concepts and procedures that accompany real-world sample surveys, such as sampling designs, problems of missing data, statistical analysis of multistage sampling data, and nonresponse and poststratification adjustment procedures. Rather than employ a heavily mathematical approach, the authors present illustrative examples that demonstrate the rationale behind common steps in the sampling process, from creating effective surveys to analyzing collected data. Along with established methods, modern topics are treated through the book's new features, which include: A new chapter on telephone sampling, with coverage of declining response rates, the creation of "do not call" lists, and the growing use of cellular phones A new chapter on sample weighting that focuses on adjustments to weight for nonresponse, frame deficiencies, and the effects of estimator instability An updated discussion of sample survey data analysis that includes analytic procedures for estimation and hypothesis testing A new section on Chromy's widely used method of taking probability proportional to size samples with minimum replacement of primary sampling units An expanded index with references on the latest research in the field All of the book's examples and exercises can be easily worked out using various software packages including SAS, STATA, and SUDAAN, and an extensive FTP site contains additional data sets. With its comprehensive presentation and wealth of relevant examples, Sampling of Populations, Fourth Edition is an ideal book for courses on survey sampling at the upper-undergraduate and graduate levels. It is also a valuable reference for practicing statisticians who would like to refresh their knowledge of sampling techniques.
Categories: Medical

Textbook of Psychiatric Epidemiology

Textbook of Psychiatric Epidemiology

Logistic regression offers many of the same advantages of contingency table
methods but also provides an efficient ... of logistic regression methods with an
emphasis on applications can be found in the text Applied Logistic Regression by
 ...

Author: Ming T. Tsuang

Publisher: John Wiley & Sons

ISBN: 9780470977408

Category: Medical

Page: 664

View: 565

The new edition of this critically praised textbook continues to provide the most comprehensive overview of the concepts, methods, and research advances in the field; particularly the application of molecular genomics and of neuroimaging. It has been revised and enhanced to capitalize on the strengths of the first and second editions while keeping it up-to-date with the field of psychiatry and epidemiology. This comprehensive publication now includes chapters on experimental epidemiology, gene-environment interactions, the use of case registries, eating disorders, suicide, childhood disorders and immigrant populations, and the epidemiology of a number of childhood disorders. As in the first and second editions, the objective is to provide a comprehensive, easy to understand overview of research methods for the non-specialist. The book is ideal for students of psychiatric epidemiology, psychiatric residents, general psychiatrists, and other mental health professionals. The book features a new editor, Peter Jones, from the University of Cambridge, who joins the successful US team of Ming Tsuang and Mauricio Tohen.
Categories: Medical

Data Smart

Data Smart

Figure 6.31 The Logistic Regression sheet If you check the sum of squared error
associated with your actual logistic ... For more information, see Applied Logistic
Regression by David W. Hosmer, Jr., Stanley Lemeshow, and Rodney X.

Author: John W. Foreman

Publisher: John Wiley & Sons

ISBN: 9781118839867

Category: Business & Economics

Page: 432

View: 120

Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the "data scientist," toextract this gold from your data? Nope. Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet. Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype. But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data. Each chapter will cover a different technique in aspreadsheet so you can follow along: Mathematical optimization, including non-linear programming andgenetic algorithms Clustering via k-means, spherical k-means, and graphmodularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, andbag-of-words models Forecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know.
Categories: Business & Economics

Probabilistic Design for Optimization and Robustness for Engineers

Probabilistic Design for Optimization and Robustness for Engineers

Applied statistics in business and economics. Boston, MA: McGraw-Hill. ...
Simultaneous optimization of multiple responses represented by polynomial
regression functions. Technometrics ... Applied Logistic Regression Analysis. Los
Angeles: ...

Author: Bryan Dodson

Publisher: John Wiley & Sons

ISBN: 9781118796306

Category: Mathematics

Page: 272

View: 271

Probabilistic Design for Optimization and Robustness: Presents the theory of modeling with variation using physical models and methods for practical applications on designs more insensitive to variation. Provides a comprehensive guide to optimization and robustness for probabilistic design. Features examples, case studies and exercises throughout. The methods presented can be applied to a wide range of disciplines such as mechanics, electrics, chemistry, aerospace, industry and engineering. This text is supported by an accompanying website featuring videos, interactive animations to aid the readers understanding.
Categories: Mathematics

Consumer Financial Services

Consumer Financial Services

Prior to the estimation of the logit regression equation, Munnell, Tootell, Browne,
and McEneaney reported “raw” Denial Percentages of 28% for minority and 10%
for white applicants, resulting in DDR = 2.80.” By applying the logit regression to
 ...

Author: Andrew L. Sandler

Publisher: Law Journal Press

ISBN: 1588521001

Category: Law

Page: 450

View: 760

This book presents an analysis including the impact of more than fifteen federal statutes-ranging from the Civil Rights Act of 1866 to the Fair and Accurate Credit Transactions Act-on the banking.
Categories: Law