Analysis Of Correlated Data With Sas And R

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Analysis of Correlated Data with SAS and R, Third Edition

Mohamed M. Shoukri,Mohammad A. Chaudhary
Analysis of Correlated Data with SAS and R Third Edition Book PDF

Author : Mohamed M. Shoukri,Mohammad A. Chaudhary
Publisher : CRC Press
Page : 308 pages
File Size : 46,5 Mb
Release : 2007-05-17
Category : Mathematics
ISBN : 9781420011258

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Analysis of Correlated Data with SAS and R, Third Edition by Mohamed M. Shoukri,Mohammad A. Chaudhary Pdf

Previously known as Statistical Methods for Health Sciences, this bestselling resource is one of the first books to discuss the methodologies used for the analysis of clustered and correlated data. While the fundamental objectives of its predecessors remain the same, Analysis of Correlated Data with SAS and R, Third Edition incorporates several additions that take into account recent developments in the field. New to the Third Edition The introduction of R codes for almost all of the numerous examples solved with SAS A chapter devoted to the modeling and analyzing of normally distributed variables under clustered sampling designs A chapter on the analysis of correlated count data that focuses on over-dispersion Expansion of the analysis of repeated measures and longitudinal data when the response variables are normally distributed Sample size requirements relevant to the topic being discussed, such as when the data are correlated because the sampling units are physically clustered or because subjects are observed over time Exercises at the end of each chapter to enhance the understanding of the material covered An accompanying CD-ROM that contains all the data sets in the book along with the SAS and R codes Assuming a working knowledge of SAS and R, this text provides the necessary concepts and applications for analyzing clustered and correlated data.

Analysis of Correlated Data with SAS and R

Mohamed M. Shoukri
Analysis of Correlated Data with SAS and R Book PDF

Author : Mohamed M. Shoukri
Publisher : Unknown
Page : 295 pages
File Size : 40,9 Mb
Release : 2007
Category : Epidemiology
ISBN : 0429138628

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Analysis of Correlated Data with SAS and R by Mohamed M. Shoukri Pdf

Previously known as Statistical Methods for Health Sciences, this bestselling resource is one of the first books to discuss the methodologies used for the analysis of clustered and correlated data. While the fundamental objectives of its predecessors remain the same, Analysis of Correlated Data with SAS and R, Third Edition incorporates several additions that take into account recent developments in the field. New to the Third EditionThe introduction of R codes for almost all of the numerous examples solved with SASA chapter devoted to the modeling and analyzing of.

Statistical Methods for Health Sciences

Mohamed M. Shoukri,Cheryl Cihon
Statistical Methods for Health Sciences Book PDF

Author : Mohamed M. Shoukri,Cheryl Cihon
Publisher : CRC Press
Page : 404 pages
File Size : 52,6 Mb
Release : 1998-12-16
Category : Mathematics
ISBN : 1439832439

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Statistical Methods for Health Sciences by Mohamed M. Shoukri,Cheryl Cihon Pdf

Building upon material presented in the first edition, Statistical Methods for Health Sciences, Second Edition continues to address the analytical issues related to the modeling and analysis of cluster data, both physical clustering-sampling of communities, families, or herds-and overtime clustering-longitudinal, repeated measures, or time series data. All examples in this new edition are solved using the SAS package, and all SAS programs are provided for understanding material presented. Numerous medical examples make this text especially suitable for applied health scientists and epidemiologists.

Analysis of Correlated Data with SAS and R

Mohamed M. Shoukri
Analysis of Correlated Data with SAS and R Book PDF

Author : Mohamed M. Shoukri
Publisher : CRC Press
Page : 497 pages
File Size : 51,7 Mb
Release : 2018-04-27
Category : Mathematics
ISBN : 9781315277721

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Analysis of Correlated Data with SAS and R by Mohamed M. Shoukri Pdf

Analysis of Correlated Data with SAS and R: 4th edition presents an applied treatment of recently developed statistical models and methods for the analysis of hierarchical binary, count and continuous response data. It explains how to use procedures in SAS and packages in R for exploring data, fitting appropriate models, presenting programming codes and results. The book is designed for senior undergraduate and graduate students in the health sciences, epidemiology, statistics, and biostatistics as well as clinical researchers, and consulting statisticians who can apply the methods with their own data analyses. In each chapter a brief description of the foundations of statistical theory needed to understand the methods is given, thereafter the author illustrates the applicability of the techniques by providing sufficient number of examples. The last three chapters of the 4th edition contain introductory material on propensity score analysis, meta-analysis and the treatment of missing data using SAS and R. These topics were not covered in previous editions. The main reason is that there is an increasing demand by clinical researchers to have these topics covered at a reasonably understandable level of complexity. Mohamed Shoukri is principal scientist and professor of biostatistics at The National Biotechnology Center, King Faisal Specialist Hospital and Research Center and Al-Faisal University, Saudi Arabia. Professor Shoukri’s research includes analytic epidemiology, analysis of hierarchical data, and clinical biostatistics. He is an associate editor of the 3Biotech journal, a Fellow of the Royal Statistical Society and an elected member of the International Statistical Institute.

SAS and R

Ken Kleinman,Nicholas J. Horton
SAS and R Book PDF

Author : Ken Kleinman,Nicholas J. Horton
Publisher : CRC Press
Page : 325 pages
File Size : 42,9 Mb
Release : 2009-07-21
Category : Mathematics
ISBN : 9781420070590

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SAS and R by Ken Kleinman,Nicholas J. Horton Pdf

An All-in-One Resource for Using SAS and R to Carry out Common TasksProvides a path between languages that is easier than reading complete documentationSAS and R: Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in both SAS and R, without having to navigate through the extensive, id

SAS and R

Ken Kleinman,Nicholas J. Horton
SAS and R Book PDF

Author : Ken Kleinman,Nicholas J. Horton
Publisher : CRC Press
Page : 425 pages
File Size : 44,8 Mb
Release : 2014-07-17
Category : Mathematics
ISBN : 9781466584501

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SAS and R by Ken Kleinman,Nicholas J. Horton Pdf

An Up-to-Date, All-in-One Resource for Using SAS and R to Perform Frequent TasksThe first edition of this popular guide provided a path between SAS and R using an easy-to-understand, dictionary-like approach. Retaining the same accessible format, SAS and R: Data Management, Statistical Analysis, and Graphics, Second Edition explains how to easily p

Analysis of Correlated Data with SAS and R

Mohamed M. Shoukri
Analysis of Correlated Data with SAS and R Book PDF

Author : Mohamed M. Shoukri
Publisher : CRC Press
Page : 352 pages
File Size : 40,9 Mb
Release : 2018-04-27
Category : Mathematics
ISBN : 9781315277714

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Analysis of Correlated Data with SAS and R by Mohamed M. Shoukri Pdf

Analysis of Correlated Data with SAS and R: 4th edition presents an applied treatment of recently developed statistical models and methods for the analysis of hierarchical binary, count and continuous response data. It explains how to use procedures in SAS and packages in R for exploring data, fitting appropriate models, presenting programming codes and results. The book is designed for senior undergraduate and graduate students in the health sciences, epidemiology, statistics, and biostatistics as well as clinical researchers, and consulting statisticians who can apply the methods with their own data analyses. In each chapter a brief description of the foundations of statistical theory needed to understand the methods is given, thereafter the author illustrates the applicability of the techniques by providing sufficient number of examples. The last three chapters of the 4th edition contain introductory material on propensity score analysis, meta-analysis and the treatment of missing data using SAS and R. These topics were not covered in previous editions. The main reason is that there is an increasing demand by clinical researchers to have these topics covered at a reasonably understandable level of complexity. Mohamed Shoukri is principal scientist and professor of biostatistics at The National Biotechnology Center, King Faisal Specialist Hospital and Research Center and Al-Faisal University, Saudi Arabia. Professor Shoukri’s research includes analytic epidemiology, analysis of hierarchical data, and clinical biostatistics. He is an associate editor of the 3Biotech journal, a Fellow of the Royal Statistical Society and an elected member of the International Statistical Institute.

Modeling Binary Correlated Responses using SAS, SPSS and R

Jeffrey R. Wilson,Kent A. Lorenz
Modeling Binary Correlated Responses using SAS SPSS and R Book PDF

Author : Jeffrey R. Wilson,Kent A. Lorenz
Publisher : Springer
Page : 264 pages
File Size : 49,6 Mb
Release : 2015-10-12
Category : Mathematics
ISBN : 9783319238050

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Modeling Binary Correlated Responses using SAS, SPSS and R by Jeffrey R. Wilson,Kent A. Lorenz Pdf

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.

Clinical Trial Data Analysis Using R and SAS

Ding-Geng (Din) Chen,Karl E. Peace,Pinggao Zhang
Clinical Trial Data Analysis Using R and SAS Book PDF

Author : Ding-Geng (Din) Chen,Karl E. Peace,Pinggao Zhang
Publisher : CRC Press
Page : 378 pages
File Size : 42,9 Mb
Release : 2017-06-01
Category : Mathematics
ISBN : 9781498779531

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Clinical Trial Data Analysis Using R and SAS by Ding-Geng (Din) Chen,Karl E. Peace,Pinggao Zhang Pdf

Review of the First Edition "The goal of this book, as stated by the authors, is to fill the knowledge gap that exists between developed statistical methods and the applications of these methods. Overall, this book achieves the goal successfully and does a nice job. I would highly recommend it ...The example-based approach is easy to follow and makes the book a very helpful desktop reference for many biostatistics methods."—Journal of Statistical Software Clinical Trial Data Analysis Using R and SAS, Second Edition provides a thorough presentation of biostatistical analyses of clinical trial data with step-by-step implementations using R and SAS. The book’s practical, detailed approach draws on the authors’ 30 years’ experience in biostatistical research and clinical development. The authors develop step-by-step analysis code using appropriate R packages and functions and SAS PROCS, which enables readers to gain an understanding of the analysis methods and R and SAS implementation so that they can use these two popular software packages to analyze their own clinical trial data. What’s New in the Second Edition Adds SAS programs along with the R programs for clinical trial data analysis. Updates all the statistical analysis with updated R packages. Includes correlated data analysis with multivariate analysis of variance. Applies R and SAS to clinical trial data from hypertension, duodenal ulcer, beta blockers, familial andenomatous polyposis, and breast cancer trials. Covers the biostatistical aspects of various clinical trials, including treatment comparisons, time-to-event endpoints, longitudinal clinical trials, and bioequivalence trials.

Modeling Binary Correlated Responses

Jeffrey R. Wilson,Kent A. Lorenz,Lori P. Selby
Modeling Binary Correlated Responses Book PDF

Author : Jeffrey R. Wilson,Kent A. Lorenz,Lori P. Selby
Publisher : Springer
Page : 0 pages
File Size : 49,9 Mb
Release : 2024-09-09
Category : Mathematics
ISBN : 3031624262

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Modeling Binary Correlated Responses by Jeffrey R. Wilson,Kent A. Lorenz,Lori P. Selby Pdf

This book is an updated edition of Modeling Binary Correlated Responses Using SAS, SPSS and R, and now it includes the use of STATA. It uses these Statistical tools to analyze correlated binary data, accessible to practitioners in a single volume. Chapters cover recently developed statistical tools and statistical packages, as well as showcase both traditional and new methods for application to health-related research. Data analysis presented in each chapter will provide step-by-step instructions so these new methods can be readily applied to projects. Short tutorials are in the appendix, for readers interested in learning more about the languages. 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, SPSS and STATA, allows for easy implementation by readers. Researchers and graduate students in Statistics, Epidemiology, and Public Health will find this book particularly useful.

SAS for Data Analysis

Mervyn G. Marasinghe,William J. Kennedy
SAS for Data Analysis Book PDF

Author : Mervyn G. Marasinghe,William J. Kennedy
Publisher : Springer Science & Business Media
Page : 562 pages
File Size : 40,5 Mb
Release : 2008-12-10
Category : Mathematics
ISBN : 9780387773728

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SAS for Data Analysis by Mervyn G. Marasinghe,William J. Kennedy Pdf

This book is intended for use as the textbook in a second course in applied statistics that covers topics in multiple regression and analysis of variance at an intermediate level. Generally, students enrolled in such courses are p- marily graduate majors or advanced undergraduate students from a variety of disciplines. These students typically have taken an introductory-level s- tistical methods course that requires the use a software system such as SAS for performing statistical analysis. Thus students are expected to have an - derstanding of basic concepts of statistical inference such as estimation and hypothesis testing. Understandably, adequate time is not available in a ?rst course in stat- tical methods to cover the use of a software system adequately in the amount of time available for instruction. The aim of this book is to teach how to use the SAS system for data analysis. The SAS language is introduced at a level of sophistication not found in most introductory SAS books. Important features such as SAS data step programming, pointers, and line-hold spe- ?ers are described in detail. The powerful graphics support available in SAS is emphasized throughout, and many worked SAS program examples contain graphic components.

Using SAS for Data Management, Statistical Analysis, and Graphics

Ken Kleinman,Nicholas J. Horton
Using SAS for Data Management Statistical Analysis and Graphics Book PDF

Author : Ken Kleinman,Nicholas J. Horton
Publisher : CRC Press
Page : 308 pages
File Size : 48,9 Mb
Release : 2010-07-28
Category : Mathematics
ISBN : 9781439827581

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Using SAS for Data Management, Statistical Analysis, and Graphics by Ken Kleinman,Nicholas J. Horton Pdf

Quick and Easy Access to Key Elements of Documentation Includes worked examples across a wide variety of applications, tasks, and graphicsA unique companion for statistical coders, Using SAS for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in SAS, without having to navigate thro

Correlated Data Analysis: Modeling, Analytics, and Applications

Xue-Kun Song,Peter X. -K. Song
Correlated Data Analysis Modeling Analytics and Applications Book PDF

Author : Xue-Kun Song,Peter X. -K. Song
Publisher : Springer Science & Business Media
Page : 356 pages
File Size : 43,6 Mb
Release : 2007-07-27
Category : Mathematics
ISBN : 9780387713922

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Correlated Data Analysis: Modeling, Analytics, and Applications by Xue-Kun Song,Peter X. -K. Song Pdf

This book covers recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components in the formulation of joint models for correlated data. This enables the book to cover a broader range of data types than the traditional generalized linear models. The reader is provided with a systematic treatment for the topic of estimating functions, and both generalized estimating equations (GEE) and quadratic inference functions (QIF) are studied as special cases. In addition to the discussions on marginal models and mixed-effects models, this book covers new topics on joint regression analysis based on Gaussian copulas.

Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates

Jeffrey R. Wilson,Elsa Vazquez-Arreola,(Din) Ding-Geng Chen
Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates Book PDF

Author : Jeffrey R. Wilson,Elsa Vazquez-Arreola,(Din) Ding-Geng Chen
Publisher : Springer Nature
Page : 182 pages
File Size : 54,6 Mb
Release : 2020-09-28
Category : Medical
ISBN : 9783030489045

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Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates by Jeffrey R. Wilson,Elsa Vazquez-Arreola,(Din) Ding-Geng Chen Pdf

This monograph provides a concise point of research topics and reference for modeling correlated response data with time-dependent covariates, and longitudinal data for the analysis of population-averaged models, highlighting methods by a variety of pioneering scholars. While the models presented in the volume are applied to health and health-related data, they can be used to analyze any kind of data that contain covariates that change over time. The included data are analyzed with the use of both R and SAS, and the data and computing programs are provided to readers so that they can replicate and implement covered methods. It is an excellent resource for scholars of both computational and methodological statistics and biostatistics, particularly in the applied areas of health. ​

Using R for Data Management, Statistical Analysis, and Graphics

Nicholas J. Horton,Ken Kleinman
Using R for Data Management Statistical Analysis and Graphics Book PDF

Author : Nicholas J. Horton,Ken Kleinman
Publisher : CRC Press
Page : 299 pages
File Size : 53,5 Mb
Release : 2010-07-28
Category : Mathematics
ISBN : 9781439827567

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Using R for Data Management, Statistical Analysis, and Graphics by Nicholas J. Horton,Ken Kleinman Pdf

Quick and Easy Access to Key Elements of Documentation Includes worked examples across a wide variety of applications, tasks, and graphicsUsing R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without having to navigate through the extensive, idiosyncratic, and sometimes