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Full Product Details

Author:   Jeffrey Wilson ,  Ding-Geng Chen ,  Karl E. Peace (Georgia Southern University,USA)
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.512kg
ISBN:  

9781032325620

ISBN 10:   1032325623
Pages:   258
Publication Date:   28 March 2023
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

1. Sampling and Data Collection 2. Measures of Tendency, Spread, Relative Standing, Association, Belief 3. Statistical Modeling of Mean of Continuous and Mean of Binary Outcomes 4. Modeling of Continuous and Binary Outcomes with Factors: One-way and Two-way ANOVA Models 5. Statistical Modeling of Continuous Outcomes with Continuous Explanatory Factors Linear Regression Models 6. Modeling Continuous Responses with Categorical and Continuous Covariates: One-Way Analysis of Covariance (ANCOVA) 7. Statistical Modeling of Binary Outcome with One or More Covariates: Standard Logistic Regression Model 8. Generalized Linear Models 9. Modeling Repeated Continuous Observations using GEE 10. Modeling for Correlated Continuous Responses with Random-Effects 11. Modeling Correlated Binary Outcomes through Hierarchical Logistic Regression Models

Reviews

"""In summary, Statistical Analytics for Health Data Science with SAS and R excels in demystifying intricate statistical concepts and offers both theoretical grounding and practical experience. Whether you are an applied data scientist, a graduate student, or a public health researcher, this work by Willson, Chen, and Peace is an invaluable asset for learning and applying statistics in real-world settings."" Ali Rahnavard, The George Washingotn University USA, Journal of the American Statistical Association, 2023."

""In summary, Statistical Analytics for Health Data Science with SAS and R excels in demystifying intricate statistical concepts and offers both theoretical grounding and practical experience. Whether you are an applied data scientist, a graduate student, or a public health researcher, this work by Willson, Chen, and Peace is an invaluable asset for learning and applying statistics in real-world settings."" Ali Rahnavard, The George Washingotn University USA, Journal of the American Statistical Association, 2023.

Author Information

Jeffrey Wilson, Ph.D. Professor in Biostatistics and Associate Dean of Research Department of Economics W. P. Carey School of Business, Arizona State University, USA. Ding-Geng Chen, Ph.D. Professor and Executive Director in Biostatistics College of Health Solutions Arizona State University, USA. Dr. Karl E. Peace is the Georgia Cancer Coalition Distinguished Cancer Scholar (GCCDCS), Senior Research Scientist and Professor of Biostatistics in the Jiann-Ping Hsu College of Public Health (JPHCOPH) at Georgia Southern University (GSU). He was responsible for establishing the Jiann-Ping Hsu College of Public Health – the first college of public health in the University System of GA (USG). He is the architect of the MPH in Biostatistics – the first-degree program in Biostatistics in the USG and Founding Director of the Karl E. Peace Center for Biostatistics in the JPHCOPH. Dr. Peace holds the Ph.D. in Biostatistics from the Medical College of Virginia, the M.S. in Mathematics from Clemson University, the B.S. in Chemistry from Georgia Southern College, and a Health Science Certificate from Vanderbilt University.

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