Epidemiology Kept Simple: An Introduction to Traditional and Modern Epidemiology - Softcover

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B. Burt (“Bud”) Gerstman has a Ph.D. in Epidemiology and Comparative Pathology from the University of California, Davis, a MPH in Epidemiology from the University of California at Berkeley, and a Doctor of Veterinary Medicine degree from Cornell University. He teaches courses in epidemiology, biostatistics, and public health statistics at San Jose State University in Northern California. Before coming to SJSU in 1990, he was a Fellow of the National Institutes of Health - U.S. Public Health Service Epidemiology Training Program and a member of the faculty at the Graduate School at National Institutes of Health. He has won numerous awards and is widely published. His most recent project was the development and publication of an epidemiology textbook and he is currently at work on a text on data analysis.

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As epidemiology expands into new areas of medicine and scientific research, professionals without specific epidemiologic training and undergraduate students in a variety of health-related fields are increasingly called upon to study and assess epid emiological information.

Epidemiology Kept Simple: An Introduction to Classic and Modern Epidemiology, Second Edition revises and updates the first accessible treatment of the subject for non-epidemiologists. Using traditional and modern epidemiologic approaches, it gives the reader simple yet effective tools to interpret epidemiologic data, keep up with current literature, and prepare for qualifying exams with epidemiologic content. Clear and concise throughout, this book features a series of authoritative chapters arranged in a format that encourages comprehension of key concepts. Topics covered include:

• The historical development of epidemiologic ideas
• Causal concepts
• Identification and classification of disease
• Measures of disease frequency (incidence and prevalence)
• Stratification and adjustment
• Measures of association and potential impact
• Types of studies and epidemiologic study designs
• Sources of error in epidemiologic study designs
• Confidence intervals and p values
• Mantel-Haenszel methods of confounder adjustment
• Statistical interaction in epidemiologic studies
• Causal inference
• Survival analysis and current life tables
• Clusters and outbreaks

The Second Edition contains chapter summaries, illustrations, and extensive references for would-be epidemiologists or for those interested in specialized areas of epidemiology. It is an ideal introductory text for public health training programs as well as for students and professionals in medicine, health education, and the biologic sciences, and for all who would like to sharpen their epidemiologic skills.