Epidemiology, Biostatistics and Preventive Medicine / Edition 2by James F. Jekel, David L. Katz, Joann G. Elmore, David L. Katz
Pub. Date: 09/25/2001
Publisher: Elsevier Health Sciences
This is the only textbook for medical students and public health school students that combines the disciplines of epidemiology, biostatistics, preventive medicine, and public health in one convenient book. Written by renowned experts in the field, this text presents the information you need with a clinical slant using real-life medical examples throughout.
This is the only textbook for medical students and public health school students that combines the disciplines of epidemiology, biostatistics, preventive medicine, and public health in one convenient book. Written by renowned experts in the field, this text presents the information you need with a clinical slant using real-life medical examples throughout. Combining all four disciplines in one book creates an integrated approach that shows the interrelationships among these fields and stresses their clinical relevance. In addition to medical and public health school students, this text serves as a source of information for health care professionals who wish to study these topics on their own or to review for medical board examinations. A comprehensive examination including 350 USMLE-style questions with detailed answers and explanations is provided. This text is recommended by the American Public Health Association as one of the best sources for review for residents preparing for the boards in public health medicine.
Table of Contents
Section 1 Epidemiology
Basic epidemiologic concepts and principles; Epidemiologic data source and measurements; Epidemiologic surveillance and outbreak investigation; The study of causation and epidemiologic investigation and research; Common research design used in epidemiology; Assessment of risk and benefit in epidemiologic studies; Understanding errors in clinical medicine; Improving decisions in clinical medicine
Section 2 Biostatistics
Describing variation in data; Statistical inference and hypothesis testing; Bivariable analysis; Sample size, randomization, and probability theory; Multivariable analysis
Section 3 Preventive medicine and public health
Introduction to preventive medicine; Methods of primary prevention: health promotion; Methods of primary prevention: specific protection; Methods of secondary prevention; Methods of tertiary prevention; Selected topics in prevention; The public health system: structure and function; Medical care policy and financing.
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