Advanced Epidemiologic Methods: The Essentials is a concise, but thorough volume that provides a solid grounding in core methodologic issues. The book takes a streamlined approached on prevalence studies, cohort studies, demographic studies of morbidity and mortality, case-control studies, randomized trials, ecologic studies, bias and confounding. Organized according to study design, with each chapter building on those preceding it, the book provides detailed examples throughout, using data tables and graphs to help reinforce methodologic points.

Epidemiologic Methods: The Essentials

Science & Math

Newman, Stephen C.

Biological Sciences

Academic Press

An introduction to classical biostatistical methods in epidemiology Biostatistical Methods in Epidemiology provides an introduction to a wide range of methods used to analyze epidemiologic data, with a focus on nonregression techniques. The text includes an extensive discussion of measurement issues in epidemiology, especially confounding. Maximum likelihood, Mantel-Haenszel, and weighted least squares methods are presented for the analysis of closed cohort and case-control data. Kaplan-Meier and Poisson methods are described for the analysis of censored survival data. A justification for using odds ratio methods in case-control studies is provided. Standardization of rates is discussed and the construction of ordinary, multiple decrement and cause-deleted life tables is outlined. Sample size formulas are given for a range of epidemiologic study designs. The text ends with a brief overview of logistic and Cox regression. Other highlights include: <ul>
<li>Many worked examples based on actual data</li> <li>Discussion of exact methods</li> <li>Recommendations for preferred methods</li> <li>Extensive appendices and references</li> </ul>
Biostatistical Methods in Epidemiology provides an excellent introduction to the subject for students, while also serving as a comprehensive reference for epidemiologists and other health professionals. For more information, visit www.wiley.com/mathematics

Biostatistical Methods in Epidemiology

NEWMAN

Wiley-Interscience

Explore the foundations and modern applications of Galois theory Galois theory is widely regarded as one of the most elegant areas of mathematics. A Classical Introduction to Galois Theory develops the topic from a historical perspective, with an emphasis on the solvability of polynomials by radicals. The book provides a gradual transition from the computational methods typical of early literature on the subject to the more abstract approach that characterizes most contemporary expositions. The author provides an easily-accessible presentation of fundamental notions such as roots of unity, minimal polynomials, primitive elements, radical extensions, fixed fields, groups of automorphisms, and solvable series. As a result, their role in modern treatments of Galois theory is clearly illuminated for readers. Classical theorems by Abel, Galois, Gauss, Kronecker, Lagrange, and Ruffini are presented, and the power of Galois theory as both a theoretical and computational tool is illustrated through: <ul>
<li>A study of the solvability of polynomials of prime degree</li> <li>Development of the theory of periods of roots of unity</li> <li>Derivation of the classical formulas for solving general quadratic, cubic, and quartic polynomials by radicals</li> </ul>
Throughout the book, key theorems are proved in two ways, once using a classical approach and then again utilizing modern methods. Numerous worked examples showcase the discussed techniques, and background material on groups and fields is provided, supplying readers with a self-contained discussion of the topic. A Classical Introduction to Galois Theory is an excellent resource for courses on abstract algebra at the upper-undergraduate level. The book is also appealing to anyone interested in understanding the origins of Galois theory, why it was created, and how it has evolved into the discipline it is today.

A Classical Introduction to Galois Theory

Mathematics

wiley

An introduction to semi-Riemannian geometry as a foundation for general relativity Semi-Riemannian Geometry: The Mathematical Language of General Relativity is an accessible exposition of the mathematics underlying general relativity. The book begins with background on linear and multilinear algebra, general topology, and real analysis. This is followed by material on the classical theory of curves and surfaces, expanded to include both the Lorentz and Euclidean signatures. The remainder of the book is devoted to a discussion of smooth manifolds, smooth manifolds with boundary, smooth manifolds with a connection, semi-Riemannian manifolds, and differential operators, culminating in applications to Maxwell’s equations and the Einstein tensor. Many worked examples and detailed diagrams are provided to aid understanding. This book will appeal especially to physics students wishing to learn more differential geometry than is usually provided in texts on general relativity.

Semi-Riemannian Geometry: The Mathematical Language of General Relativity

See the best price to sell, buy, or rent books by Newman, Stephen C.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Newman, Stephen C.

See the best price to sell, buy, or rent books by Newman, Stephen C.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Epidemiologic Methods: The Essentials

Biostatistical Methods in Epidemiology

A Classical Introduction to Galois Theory

Semi-Riemannian Geometry: The Mathematical Language of General Relativity

Semi-Riemannian Geometry: The Mathematical Language of General Relativity