Principles of Biostatistics, 2nd Edition
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ISBN-101138593141
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ISBN-13978-1138593145
This model is a reprint of the second model revealed in 2000 by Brooks/Cole and then Cengage Learning.
Principles of Biostatistics targets college students in the natural and health sciences who want to learn modern analysis methods. It is based on a mandatory course available at the Harvard School of Public Health. In addition to these postgraduate students, many health professionals from the Harvard medical field also attend.
The book is divided into three parts. The initial five chapters address groupings of figures and the methodologies for summarizing, discovering, and explaining them. The following two chapters focus on chance and introduce the tools required for the subsequent exploration of uncertainty. It is only in the eighth chapter and beyond that the authors differentiate between populations and samples and embark on studying the inherent variability introduced by sampling, thus advancing to inference. Delaying the marginally more challenging concepts until a firm foundation has been established makes it easier for the reader to grasp them.
About the Author
Marcello Pagano holds the position of Professor of Statistical Computing in the Biostatistics Department at the Harvard School of Public Health. His biostatistics research revolves around computer-intensive inference and surveillance methodologies involving screening techniques, along with their associated laboratory tests, and in obtaining more precise testing outcomes using existing technologies.
Kimberlee Gauvreau serves as an Associate Professor in the Biostatistics Department and as an Associate Professor of Pediatrics at Harvard Medical School. Dr. Gauvreau’s research is centered on biostatistical issues arising in the area of pediatric cardiology. Additionally, she is involved in the development and validation of adjustment methods for case mix complexity.
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