Logistic Regression Using SAS

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Publisher : SAS Institute
ISBN 13 : 1629590185
Total Pages : 348 pages
Book Rating : 4.89/5 ( download)

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Book Synopsis Logistic Regression Using SAS by : Paul D. Allison

Download or read book Logistic Regression Using SAS written by Paul D. Allison and published by SAS Institute. This book was released on 2012-03-30 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Informal and nontechnical, this book both explains the theory behind logistic regression, and looks at all the practical details involved in its implementation using SAS. Includes several real-world examples in full detail.

Applied Logistic Regression, Second Edition: Book and Solutions Manual Set

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Publisher : Wiley-Interscience
ISBN 13 : 9780471225898
Total Pages : 0 pages
Book Rating : 4.94/5 ( download)

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Book Synopsis Applied Logistic Regression, Second Edition: Book and Solutions Manual Set by : David W. Hosmer, Jr.

Download or read book Applied Logistic Regression, Second Edition: Book and Solutions Manual Set written by David W. Hosmer, Jr. and published by Wiley-Interscience. This book was released on 2001-11-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Multiple Imputation of Missing Data Using SAS

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Publisher : SAS Institute
ISBN 13 : 162959203X
Total Pages : 164 pages
Book Rating : 4.39/5 ( download)

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Book Synopsis Multiple Imputation of Missing Data Using SAS by : Patricia Berglund

Download or read book Multiple Imputation of Missing Data Using SAS written by Patricia Berglund and published by SAS Institute. This book was released on 2014-07-01 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: Find guidance on using SAS for multiple imputation and solving common missing data issues. Multiple Imputation of Missing Data Using SAS provides both theoretical background and constructive solutions for those working with incomplete data sets in an engaging example-driven format. It offers practical instruction on the use of SAS for multiple imputation and provides numerous examples that use a variety of public release data sets with applications to survey data. Written for users with an intermediate background in SAS programming and statistics, this book is an excellent resource for anyone seeking guidance on multiple imputation. The authors cover the MI and MIANALYZE procedures in detail, along with other procedures used for analysis of complete data sets. They guide analysts through the multiple imputation process, including evaluation of missing data patterns, choice of an imputation method, execution of the process, and interpretation of results. Topics discussed include how to deal with missing data problems in a statistically appropriate manner, how to intelligently select an imputation method, how to incorporate the uncertainty introduced by the imputation process, and how to incorporate the complex sample design (if appropriate) through use of the SAS SURVEY procedures. Discover the theoretical background and see extensive applications of the multiple imputation process in action. This book is part of the SAS Press program.

Modeling Binary Correlated Responses using SAS, SPSS and R

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Publisher : Springer
ISBN 13 : 3319238051
Total Pages : 264 pages
Book Rating : 4.50/5 ( download)

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Book Synopsis Modeling Binary Correlated Responses using SAS, SPSS and R by : Jeffrey R. Wilson

Download or read book Modeling Binary Correlated Responses using SAS, SPSS and R written by Jeffrey R. Wilson and published by Springer. This book was released on 2015-10-12 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical tools to analyze correlated binary data are spread out in the existing literature. This book makes these tools accessible to practitioners in a single volume. Chapters cover recently developed statistical tools and statistical packages that are tailored to analyzing correlated binary data. The authors showcase both traditional and new methods for application to health-related research. Data and computer programs will be publicly available in order for readers to replicate model development, but learning a new statistical language is not necessary with this book. The inclusion of code for R, SAS, and SPSS allows for easy implementation by readers. For readers interested in learning more about the languages, though, there are short tutorials in the appendix. Accompanying data sets are available for download through the book s website. Data analysis presented in each chapter will provide step-by-step instructions so these new methods can be readily applied to projects. Researchers and graduate students in Statistics, Epidemiology, and Public Health will find this book particularly useful.

Biostatistics and Computer-based Analysis of Health Data Using SAS

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Publisher : Elsevier
ISBN 13 : 0081011717
Total Pages : 174 pages
Book Rating : 4.13/5 ( download)

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Book Synopsis Biostatistics and Computer-based Analysis of Health Data Using SAS by : Christophe Lalanne

Download or read book Biostatistics and Computer-based Analysis of Health Data Using SAS written by Christophe Lalanne and published by Elsevier. This book was released on 2017-06-22 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of SAS for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This practical book is primarily intended for health researchers with a basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice of biostatistical methods essential to clinical research, epidemiology and analysis of biomedical data (including comparison of two groups, analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis). The use of examples from clinical trials and epidemiological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential SAS commands. Presents the use of SAS software in the statistical approach for the management of data modeling Includes elements of the language and descriptive statistics Supplies measures of association, comparison of means, and proportions for two or more samples Explores linear and logistic regression Provides survival data analysis

Categorical Data Analysis Using SAS, Third Edition

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Publisher : SAS Institute
ISBN 13 : 1629590355
Total Pages : 590 pages
Book Rating : 4.56/5 ( download)

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Book Synopsis Categorical Data Analysis Using SAS, Third Edition by : Maura E. Stokes

Download or read book Categorical Data Analysis Using SAS, Third Edition written by Maura E. Stokes and published by SAS Institute. This book was released on 2012-07-31 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statisticians and researchers will find this book, newly updated for SAS/STAT 12.1, to be a useful discussion of categorical data analysis techniques as well as an invaluable aid in applying these methods with SAS.

Regression Models for Categorical and Limited Dependent Variables

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Publisher : SAGE
ISBN 13 : 9780803973749
Total Pages : 334 pages
Book Rating : 4.48/5 ( download)

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Book Synopsis Regression Models for Categorical and Limited Dependent Variables by : J. Scott Long

Download or read book Regression Models for Categorical and Limited Dependent Variables written by J. Scott Long and published by SAGE. This book was released on 1997-01-09 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evaluates the most useful models for categorical and limited dependent variables (CLDVs), emphasizing the links among models and applying common methods of derivation, interpretation, and testing. The author also explains how models relate to linear regression models whenever possible. Annotation c.

Exploring Modern Regression Methods Using SAS

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Publisher :
ISBN 13 : 9781642954876
Total Pages : 142 pages
Book Rating : 4.7X/5 ( download)

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Book Synopsis Exploring Modern Regression Methods Using SAS by :

Download or read book Exploring Modern Regression Methods Using SAS written by and published by . This book was released on 2019-06-21 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: This special collection of SAS Global Forum papers demonstrates new and enhanced capabilities and applications of lesser-known SAS/STAT and SAS Viya procedures for regression models. The goal here is to raise awareness of current valuable SAS/STAT content of which the user may not be aware. Also available free as a PDF from sas.com/books.

Logistic Regression Examples Using the SAS System

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Publisher : Sas Inst
ISBN 13 : 9781555446741
Total Pages : 163 pages
Book Rating : 4.44/5 ( download)

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Book Synopsis Logistic Regression Examples Using the SAS System by : SAS Institute

Download or read book Logistic Regression Examples Using the SAS System written by SAS Institute and published by Sas Inst. This book was released on 1995 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data set examples show how to create a SAS data set for the raw data and print the data set.

Logistic Regression Using the SAS System

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Publisher :
ISBN 13 :
Total Pages : 288 pages
Book Rating : 4.86/5 ( download)

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Book Synopsis Logistic Regression Using the SAS System by : Paul D. Allison

Download or read book Logistic Regression Using the SAS System written by Paul D. Allison and published by . This book was released on 2000 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: