Biostatistics and Epidemiology

Beschreibung

Since the publication of the 1st edition, Biostatistics and Epidemiology has attracted loyal readers from various specialty areas in the biomedical community. Not only does this textbook teach foundations of epidemiological design and statistical methods, but it also includes topics applicable to new areas of research. The 5th Edition includes coverage of fixed and random effects and mixed effects models; Poisson regression; constructing confidence intervals for U-shaped relationships; analysis of rare variants; Mendelian randomization; and aspects of machine learning and big data analytics.Biostatistics and Epidemiology was written to be accessible for readers without backgrounds in mathematics. It provides clear explanations of underlying principles, as well as practical guidelines of “how to do it” and “how to interpret it.” Key features include a philosophical and logical explanation at the beginning of the book, subsections that can stand alone or serve as reference, cross-referencing, recommended reading, and appendices covering sample calculations for various statistics in the text.

This book teaches foundations of epidemiological design and statistical methods, as well as including topics applicable to new areas of research. Since the publication of the first edition, Biostatistics and Epidemiology has attracted loyal readers from various specialty areas in the biomedical community. The Fifth Edition includes coverage of fixed and random effects and mixed effects models; Poisson regression; constructing confidence intervals for U-shaped relationships; analysis of rare variants; Mendelian randomization; and aspects of machine learning and big data analytics. Biostatistics and Epidemiology was written to be accessible for readers without backgrounds in mathematics. It provides clear explanations of underlying principles, as well as practical guidelines of "how to do it" and "how to interpret it." Key features include a philosophical and logical explanation at the beginning of the book, subsections that can stand alone or serve as reference, cross-referencing, recommended reading, and appendices covering sample calculations for various statistics in the text.
Accessible to a broad audience of readers without backgrounds in mathematics Covers the design, analysis and interpretation of observational studies, randomized trials and genetic research Includes introduction to machine learning methods and big data analytics, Poisson regression, and more

Autor*in

Sylvia Wassertheil-Smoller

Themen in »Biostatistics and Epidemiology«

biostatistics methodology genetic epidemiology genetics regression analysis research ethics risk stratification screening mixed models Poisson regression spline analyses Mendelian randomization

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