This collection contains an archive for the books produced by faculty members in the College of Public Health- Department of Biostatistics at Georgia Southern University.
This page represents works published prior to the reorganization of departments in July 2018. A comprehensive collection of all publications from the faculty of the Biostatistics department is available at https://digitalcommons.georgiasouthern.edu/pubhlth-bee
Select a publication to browse the Georgia Southern University Biostatistics Faculty Bookshelf in Digital Commons@Georgia Southern.
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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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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 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
