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The most important concept in statistics is the probability model. Only by fully understanding this model can one fully understand statistical analysis. Utilizing models in epidemiology, the authors of this self-contained account have chosen to emphasize the role of likelihood. This approach to statistics is both simple and intuitively satisfying. More complex problems can be tackled by natural extensions of the simple methods. This exploration of the statistical basis of epidemiology has been written specifically for professionals and graduate students in epidemiology, clinical epidemiology, or biostatistics. The simple prerequisite--basic training in biology--assumes no previous knowledge and the mathematics is deliberately kept at a manageable level. Based on a highly successful course by two internationally known authors, this book explains the essentials of statistics for all epidemiologists.
This text investigates the foundational role of probability models and likelihood-based inference in the practice of modern epidemiology. Authors David Clayton and Michael Hills, both recognized experts in the field, present a self-contained framework designed to demystify statistical analysis for researchers. By prioritizing intuitive understanding over complex mathematical abstraction, the authors provide a methodology that allows professionals and graduate students to scale simple statistical concepts to address intricate epidemiological problems.
What You Will Find
Experts frequently cite this work as a foundational text for those entering the field of biostatistics and epidemiology. Readers often note that the prose is accessible and logically structured, making it a standard resource for graduate-level instruction.
Page Count:
376
Publication Date:
1993-08-05
Publisher:
Oxford University Press
ISBN-10:
0198522215
ISBN-13:
9780198522218
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