Items related to Analysis of Correlated Data with SAS and R
Synopsis
The fifth edition of Analysis of Correlated Data with SAS and R provides cutting‑edge methodologies for analyzing clustered and correlated data, incorporating new topics and advancements in statistical modeling and machine learning.
This updated edition introduces five new topics: (1) simultaneous testing of equality of correlated means and variances, (2) beta‑binomial regression model for the analysis of binomial data with overdispersion, (3) modeling count data with inflated zero class and zero‑truncated data, (4) analysis of multivariate time series, and (5) network meta‑analysis. Additionally, a new chapter on integrating statistical methods with machine learning algorithms offers deeper insights into biomedical data analysis. With extensive examples, real‑world datasets, and practical codes for R and SAS, this book equips readers with the tools to master advanced data analytics.
Designed for researchers, students, and professionals in biostatistics, biomedical data analysis, and applied statistics, this book is ideal for those seeking to enhance their understanding of computing as an essential part of the practice of statistics and machine learning. It is particularly suited for individuals using R or SAS for data analysis and reporting.
Key Features:
- Provides extensive examples to illustrate methodologies
- Focuses on data analytics of clustered data, regardless of whether the clusters are due to natural sampling processes or repeated measures over time
- Provides a substantial library of Excel datasets for practical application
- Provides detailed R and SAS codes to demonstrate data analysis techniques
"synopsis" may belong to another edition of this title.
About the Author
Mohamed M. Shoukri is a retired Professor of Biostatistics who has taught mathematics and biostatistics at five Canadian universities (Simon Fraser University, University of British Columbia, University of Windsor, University of Guelph, and University of Western Ontario).
"About this title" may belong to another edition of this title.
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Analysis of Correlated Data with SAS and R (Hardcover)
Print on DemandSeller: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Hardcover. Condition: new. Hardcover. The fifth edition of Analysis of Correlated Data with SAS and R provides cuttingedge methodologies for analyzing clustered and correlated data, incorporating new topics and advancements in statistical modeling and machine learning. This updated edition introduces five new topics: (1) simultaneous testing of equality of correlated means and variances, (2) betabinomial regression model for the analysis of binomial data with overdispersion, (3) modeling count data with inflated zero class and zerotruncated data, (4) analysis of multivariate time series, and (5) network metaanalysis. Additionally, a new chapter on integrating statistical methods with machine learning algorithms offers deeper insights into biomedical data analysis. With extensive examples, realworld datasets, and practical codes for R and SAS, this book equips readers with the tools to master advanced data analytics. Designed for researchers, students, and professionals in biostatistics, biomedical data analysis, and applied statistics, this book is ideal for those seeking to enhance their understanding of computing as an essential part of the practice of statistics and machine learning. It is particularly suited for individuals using R or SAS for data analysis and reporting. Key Features:Provides extensive examples to illustrate methodologiesFocuses on data analytics of clustered data, regardless of whether the clusters are due to natural sampling processes or repeated measures over timeProvides a substantial library of Excel datasets for practical applicationProvides detailed R and SAS codes to demonstrate data analysis techniques The fifth edition provides cutting-edge methodologies for analysing clustered and correlated data, incorporating new topics and advancements in statistical modelling and machine learning. With extensive examples, real-world datasets, and practical codes for R and SAS, this book equips readers with the tools to master advanced data analytics. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781032970479
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Analysis Of Correlated Data With Sas And R
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Analysis of Correlated Data with SAS and R, Fifth Edition
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Condition: New. Mohamed M. Shoukri is a retired Professor of Biostatistics who has taught mathematics and biostatistics at five Canadian universities (Simon Fraser University, University of British Columbia, University of Windsor, University of Guelph, and Univer. Seller Inventory # 3361722279
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Analysis of Correlated Data with SAS and R
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Taylor & Francis Ltd Dez 2026, 2026
ISBN 10: 1032970472
ISBN 13: 9781032970479
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Buch. Condition: Neu. Neuware - The fifth edition of Analysis of Correlated Data with SAS and R provides cutting¿edge methodologies for analyzing clustered and correlated data, incorporating new topics and advancements in statistical modeling and machine learning. This updated edition introduces five new topics: (1) simultaneous testing of equality of correlated means and variances, (2) betäbinomial regression model for the analysis of binomial data with overdispersion, (3) modeling count data with inflated zero class and zero¿truncated data, (4) analysis of multivariate time series, and (5) network metäanalysis. Additionally, a new chapter on integrating statistical methods with machine learning algorithms offers deeper insights into biomedical data analysis. With extensive examples, real¿world datasets, and practical codes for R and SAS, this book equips readers with the tools to master advanced data analytics. Designed for researchers, students, and professionals in biostatistics, biomedical data analysis, and applied statistics, this book is ideal for those seeking to enhance their understanding of computing as an essential part of the practice of statistics and machine learning. It is particularly suited for individuals using R or SAS for data analysis and reporting. Key Features: - Provides extensive examples to illustrate methodologies - Focuses on data analytics of clustered data, regardless of whether the clusters are due to natural sampling processes or repeated measures over time - Provides a substantial library of Excel datasets for practical application - Provides detailed R and SAS codes to demonstrate data analysis techniques. Seller Inventory # 9781032970479
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Analysis of Correlated Data with SAS and R (Hardcover)
Print on DemandSeller: CitiRetail, Stevenage, United Kingdom
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Hardcover. Condition: new. Hardcover. The fifth edition of Analysis of Correlated Data with SAS and R provides cuttingedge methodologies for analyzing clustered and correlated data, incorporating new topics and advancements in statistical modeling and machine learning. This updated edition introduces five new topics: (1) simultaneous testing of equality of correlated means and variances, (2) betabinomial regression model for the analysis of binomial data with overdispersion, (3) modeling count data with inflated zero class and zerotruncated data, (4) analysis of multivariate time series, and (5) network metaanalysis. Additionally, a new chapter on integrating statistical methods with machine learning algorithms offers deeper insights into biomedical data analysis. With extensive examples, realworld datasets, and practical codes for R and SAS, this book equips readers with the tools to master advanced data analytics. Designed for researchers, students, and professionals in biostatistics, biomedical data analysis, and applied statistics, this book is ideal for those seeking to enhance their understanding of computing as an essential part of the practice of statistics and machine learning. It is particularly suited for individuals using R or SAS for data analysis and reporting. Key Features:Provides extensive examples to illustrate methodologiesFocuses on data analytics of clustered data, regardless of whether the clusters are due to natural sampling processes or repeated measures over timeProvides a substantial library of Excel datasets for practical applicationProvides detailed R and SAS codes to demonstrate data analysis techniques The fifth edition provides cutting-edge methodologies for analysing clustered and correlated data, incorporating new topics and advancements in statistical modelling and machine learning. With extensive examples, real-world datasets, and practical codes for R and SAS, this book equips readers with the tools to master advanced data analytics. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781032970479
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Analysis of Correlated Data with SAS and R
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Buch. Condition: Neu. Analysis of Correlated Data with SAS and R | Mohamed M. Shoukri | Buch | Einband - fest (Hardcover) | Englisch | 2026 | Taylor & Francis Ltd | EAN 9781032970479 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. Seller Inventory # 136804616
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