About this Collection
The books archived in this Georgia Southern Commons collection are published or edited by the faculty of the Department of Biostatistics, Eipdemiology, and Environmental Health Sciences.
Faculty Research in Georgia Southern Commons
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Publishing Information
GS Commons is an open-access digital repository. Copyright and licensing agreements for works published by GS Commons protect the author's rights while facilitating the sharing of research. The works in this gallery were originally published or presented under agreements with entities external to this repository. Records for each work provide the access permitted by the original copyright and licensing agreement. For additional access or questions about a work, please contact the authors or email the GS Commons team.
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Statistical Analytics for Health Data Science with SAS and R
Jeffrey Wilson, Arizona State University; Ding-Geng Chen, Arizona State University; and Karl E. Peace, Georgia Southern University
3-28-2023
This book aims to compile typical fundamental-to-advanced statistical methods to be used for health data sciences. Although the book promotes applications to health and health-related data, the models in the book can be used to analyze any kind of data. The data are analyzed with the commonly used statistical software of R/SAS (with online supplementary on SPSS/Stata). The data and computing programs will be available to facilitate readers’ learning experience. There has been considerable attention to making statistical methods and analytics available to health data science researchers and students. This book brings it all together to provide a concise point-of-reference ... Read more
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Applied Meta-analysis using R and STATA, 2nd Edition
Ding-Geng Chen, University of North Carolina at Chapel Hill and Karl E. Peace, Georgia Southern University, Jiann-Ping Hsu College of Public Health
3-31-2021
Statistical Meta-Analysis with R and Stata, Second Edition provides a thorough presentation of statistical meta-analyses (MA) with step-by-step implementations using R/Stata. The authors develop analysis step by step using appropriate R/Stata functions, which enables readers to gain an understanding of meta-analysis methods and R/Stata implementation so that they can use these two popular software packages to analyze their own meta-data. Each chapter gives examples of real studies compiled from the literature. After presenting the data and necessary background for understanding the applications, various methods for analyzing meta-data are introduced. The authors then develop analysis code using the appropriate R/Stata packages ... Read more
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Biopharmaceutical Applied Statistics Series, Volume 1: Design Considerations in Clinical Trials
Karl E. Peace, Georgia Southern University; Ding-Geng Chen, University of North Carolina, Chapel Hill; and Sandeep Menon, Boston University
2018
Book Summary: TThis BASS book Series publishes selected high-quality papers reflecting recent advances in the design and biostatistical analysis of biopharmaceutical experiments – particularly biopharmaceutical clinical trials. The papers were selected from invited presentations at the Biopharmaceutical Applied Statistics Symposium (BASS), which was founded by the first Editor in 1994 and has since become the premier international conference in biopharmaceutical statistics. The primary aims of the BASS are: 1) to raise funding to support graduate students in biostatistics programs, and 2) to provide an opportunity for professionals engaged in pharmaceutical drug research and development to share insights into solving the ... Read more
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Biopharmaceutical Applied Statistics Series, Volume 2: Statistical Analysis Considerations of Clinical Trials
Karl E. Peace, Georgia Southern University; Ding-Geng Chen, University of North Carolina, Chapel Hill; and Sandeep Menon, Boston University
2018
Book Summary: This BASS book Series publishes selected high-quality papers reflecting recent advances in the design and biostatistical analysis of biopharmaceutical experiments – particularly biopharmaceutical clinical trials. The papers were selected from invited presentations at the Biopharmaceutical Applied Statistics Symposium (BASS), which was founded by the first Editor in 1994 and has since become the premier international conference in biopharmaceutical statistics. The primary aims of the BASS are: 1) to raise funding to support graduate students in biostatistics programs, and 2) to provide an opportunity for professionals engaged in pharmaceutical drug research and development to share insights into solving the ... Read more
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Biopharmaceutical Applied Statistics Series, Volume 3: Novel Application in Clinical Trials
Karl E. Peace, Georgia Southern University; Ding-Geng Chen, University of North Carolina, Chapel Hill; and Sandeep Menon, Boston University
2018
Book Summary: This BASS book Series publishes selected high-quality papers reflecting recent advances in the design and biostatistical analysis of biopharmaceutical experiments – particularly biopharmaceutical clinical trials. The papers were selected from invited presentations at the Biopharmaceutical Applied Statistics Symposium (BASS), which was founded by the first Editor in 1994 and has since become the premier international conference in biopharmaceutical statistics. The primary aims of the BASS are: 1) to raise funding to support graduate students in biostatistics programs, and 2) to provide an opportunity for professionals engaged in pharmaceutical drug research and development to share insights into solving the ... Read more
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Clinical Trial Data Analysis Using R and SAS
Ding-Geng Chen, University of North Carolina, Chapel Hill; Karl E. Peace, Georgia Southern University; and Pinggao Zhang
5-3-2017
Book Summary: 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 ... Read more
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Research Methods for Environmental Health Science Professionals
Simone M. Charles, Georgia Southern University
1-1-2014
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Rural Public Health: Best Practices and Preventive Models
Jacob Warren and K. Bryant Smalley
1-1-2014
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Applied Meta-Analysis with R
Ding-Geng Chen, Georgia Southern University and Karl E. Peace, Georgia Southern University
5-3-2013
Book Summary: In biostatistical research and courses, practitioners and students often lack a thorough understanding of how to apply statistical methods to synthesize biomedical and clinical trial data. Filling this knowledge gap, Applied Meta-Analysis with R shows how to implement statistical meta-analysis methods to real data using R.
Drawing on their extensive research and teaching experiences, the authors provide detailed, step-by-step explanations of the implementation of meta-analysis methods using R. Each chapter gives examples of real studies compiled from the literature. After presenting the data and necessary background for understanding the applications, various methods for analyzing meta-data are introduced. The ... Read more
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Interval-Censored Time-to-Event Data: Methods and Applications
Ding-Geng Chen, University of North Carolina, Chapel Hill; Jianguo Sun, University of Missouri; and Karl E. Peace, Georgia Southern University
7-19-2012
Book Summary: Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent techniques, models, and computational tools for interval-censored time-to-event data. Top biostatisticians from academia, biopharmaceutical industries, and government agencies discuss how these advances are impacting clinical trials and biomedical research.
Divided into three parts, the book begins with an overview of interval-censored data modeling, including nonparametric estimation, survival functions, regression analysis, multivariate data analysis, competing risks analysis, and other models for interval-censored data. The next part presents interval-censored methods for current status data, Bayesian semiparametric regression analysis of interval-censored data with monotone splines, Bayesian inferential models for interval-censored data, ... Read more
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Clinical Trial Data Analysis Using R
Ding-Geng Chen, Georgia Southern University and Karl E. Peace, Georgia Southern University
12-14-2010
Book Summary: Too often in biostatistical research and clinical trials, a knowledge gap exists between developed statistical methods and the applications of these methods. Filling this gap, Clinical Trial Data Analysis Using R provides a thorough presentation of biostatistical analyses of clinical trial data and shows step by step how to implement the statistical methods using R. The book’s practical, detailed approach draws on the authors’ 30 years of real-world experience in biostatistical research and clinical development.
Each chapter presents examples of clinical trials based on the authors’ actual experiences in clinical drug development. Various biostatistical methods for analyzing the ... Read more
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Clinical Trial Methodology
Karl E. Peace, Georgia Southern University and Ding-Geng Chen, Georgia Southern University
7-20-2010
Book Summary: Now viewed as its own scientific discipline, clinical trial methodology encompasses the methods required for the protection of participants in a clinical trial and the methods necessary to provide a valid inference about the objective of the trial. Drawing from the authors’ courses on the subject as well as the first author’s more than 30 years working in the pharmaceutical industry, Clinical Trial Methodology emphasizes the importance of statistical thinking in clinical research and presents the methodology as a key component of clinical research.
From ethical issues and sample size considerations to adaptive design procedures and statistical analysis, ... Read more
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Design and Analysis of Clinical Trials with Time to Event Endpoints
Karl E. Peace, Georgia Southern University
4-23-2009
Book Summary: Using time-to-event analysis methodology requires careful definition of the event, censored observation, provision of adequate follow-up, number of events, and independence or "noninformativeness" of the censoring mechanisms relative to the event. Design and Analysis of Clinical Trials with Time-to-Event Endpoints provides a thorough presentation of the design, monitoring, analysis, and interpretation of clinical trials in which time-to-event is of critical interest.
After reviewing time-to-event endpoint methodology, clinical trial issues, and the design and monitoring of clinical trials, the book focuses on inferential analysis methods, including parametric, semiparametric, categorical, and Bayesian methods; an alternative to the Cox model for ... Read more
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Paid In Full
Karl E. Peace, Georgia Southern University
1-1-2009
Book Summary: The Autobiography of Karl E. Peace traces the author's life from his humble beginning in Baker County, Georgia, located in the southwest area of the state. Born to tenant farmer parents with little education, he presents vivid accounts of sharecroppers' existence in the 1940s and 1950s. He became the first in his family to earn a high school diploma and later a college degree. Upon earning a Ph.D in Biostatistics, he became the first individual from rural Baker County to claim such a lofty educational status. After a career as a classroom instructor at the college and university ... Read more
