Epidemiology: Study Design and Data Analysis, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

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It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience. Bestandsnummer des Verkäufers 1584884150-11-1

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Críticas: "As a text in quantitative Epidemiology, this book also works nicely as a text in BiostatisticsThe presentation style is relaxed, the examples are helpful, and the level of technical difficulty makes the material approachable without oversimplificationIt is sufficiently broad and deep in coverage to compete with standard texts in the field and has the added bonus of emphasizing study design. Methods and issues related to designs commonly used in a wide variety of health sciences are included" Ken Hess, Department of Biomathematics and Biostatistics, Anderson Cancer Center "I think anyone with an interest in both biostatistics and epidemiology will want a copy this book on their bookshelf it is a first-rate reference book." "I find Professor Woodward's text the most complete and practical introduction to the design and analysis of epidemiological studies I've encountered an excellent text for either a course introducing epidemiologists to statistical thought and methods or a course introducing statisticians to epidemiological thought and methods students appreciate having a readable textbook replete with understandable examples and worked exercises"" offers a complete introduction to statistical and epidemiological methods in the study of disease in human populations. All of the standard topics are included, and the second edition even has a chapter on meta-analysis." "This book can be used as a text to introduce epidemiological methods to graduate students in statistics who have no background in epidemiology, or vice versa" "Professor Woodward is to be congratulated on a job well done." -Dan McGee, Dept of Statistics, Florida State University