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Statistics in Public Health: Quantitative Approaches to Public Health Problems [Paperback]

Donna F. Stroup Ph.D M.Sc. (Editor), Steven M. Teutsch M.D. M.P.H. (Editor)
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Book Description

July 15, 1998 0195114981 978-0195114980 1
Public health strives to improve the health of human populations, and prevent disease, disability, and death. Statistics--the science of finding underlying patterns by analyzing variability and errors in collected data--is essential to the understanding of disease patterns in human populations. Other quantitative methods, such as economics, decision theory, and mathematics, now constitute integral parts of the scientific basis for priority-setting and evaluation in public health.
This book provides a broad conceptual treatment of the statistical issues underlying core public health functions: outbreak investigations, policy development, economic and program evaluation, managed care, and program operations. The theoretical analysis is illustrated with examples from public health practice. For readers interested in a more detailed treatment, there are extensive references to specialized publications.
The authors present a series of quantitative approaches that significantly help public health professionals solve the problems they confront in their day-to-day work. Unlike traditional how-to books in statistics, this volume starts with an overview of the range of problems encountered in public health practice, and then presents methods for facilitating decision making. Statistics in Public Health: Quantitative Approaches to Public Health Problems will serve as a comprehensive desk reference for public health practitioners and as a teaching text for students of public health.


Editorial Reviews

Review

"All in all, this book provides unique and complete overview of all the components that make up public health. It includes enough statistical and quantitative methods to be a useful pointer to methods for the different types of problems found in public health. Even an experienced biostatistician will benefit from some areas that they are not familiar with." --Statistics in Epidemiology Report

"By emphasizing the connection between statistics and decision making, this book brings statistical methods that much closer to public health practice."--Doody's Journal

About the Author


Donna F. Stroup, Ph.D., M.Sc., is the Associate Director for Science in the Epidemiology Program Office at the Centers for Disease Control and Prevention in Atlanta. She also serves as an Adjunct Professor at the Rollins School of Public Health, Emory University, Atlanta.
Steven M. Teutsch, M.D., M.P.H., is Senior Research Scientist in Outcomes Research and Management at Merck &Co. He is the co-editor of Prevention Effectiveness: A Guide to Decision Analysis and Economic Evaluation (OUP, 1996), and Principles and Practice of Public Health Surveillance (OUP, 1994).

Product Details

  • Paperback: 256 pages
  • Publisher: Oxford University Press, USA; 1 edition (July 15, 1998)
  • Language: English
  • ISBN-10: 0195114981
  • ISBN-13: 978-0195114980
  • Product Dimensions: 9.5 x 6.4 x 0.9 inches
  • Shipping Weight: 1.2 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #2,152,266 in Books (See Top 100 in Books)

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5.0 out of 5 stars Great book in excellent conditions, July 3, 2011
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This review is from: Statistics in Public Health: Quantitative Approaches to Public Health Problems (Paperback)
This book is great.It focus in how to apply fundamental stactistic in our current public health system. This book is very helpful for students and professional inthe epidemiology area.
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Inside This Book (learn more)
First Sentence:
While clinical medicine has individual as its focus, public health is fundamentally concerned with preventing disease, disability, and premature death in the population or community. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
cluster detection methods, health monitoring data, incubation time period, public health surveillance data, moving average smoother, median smoother, public health indicators, smoothing window, true relative risk, smoothed value, public health data, public health functions, statistical conclusion validity, lung cancer mortality rates, prevention effectiveness, public health practitioners, public health practice, consistent condom use, exposure status, prevention counseling, impact indicators, validity types
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, United States, Oxford University Press, John Wiley, Sage Publications, Institute of Medicine, San Francisco, Newbury Park, World Health Organization, Environmental Protection Agency, Health Care Financing Administration, Chronic Illness, National Health Interview Survey, Preventive Services Task Force, Thousand Oaks, World War, Government Printing Office, Health Educ, National Academy Press, National Research Council, Total Cases, Day Figure, Harvard University Press, William Farr, Academic Press
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