How Much Risk?: A Guide to Understanding Environmental Health Hazards
Author(s): Inge F. Goldstein (Author), Martin Goldstein (Author)
- Publisher: Oxford University Press
- Publication Date: 3 Jan. 2002
- Edition: Revised ed.
- Language: English
- Print length: 352 pages
- ISBN-10: 0195139941
- ISBN-13: 9780195139945
Book Description
An excellent critical analysis and scientific assessment of the nature and actual level of risk leading environmental health hazards pose to the public. Issues such as radiation from nuclear testing, radon in the home, and the connection between electromagnetic fields and cancer, environmental factors and asthma, pesticides and breast cancer and leukaemia clusters around nuclear plants are discussed and how scientists assesa these risks is illuminated. This book willenable readers to better understand environmental health issues and with the proper scientific understanding, make informed, rational decisions about them.
Editorial Reviews
Review
"The main intention of this book is to explain to a wide audience key concepts in environmental health, particularly environmental epidemiology, by using several high-profile issues as illustrations....These chapters were developed logically, with progressive construction of a framework of basic epidemiologic concepts, such as confounding, selection bias, statistical significance and power, confidence intervals, multiple comparisons, and casual inference criteria."--American Journal of Epidemiology
Review
A critical analysis and scientific assessment of the nature and actual level of risk environmental health hazards pose to the public.
Review
"The main intention of this book is to explain to a wide audience key concepts in environmental health, particularly environmental epidemiology, by using several high-profile issues as illustrations....These chapters were developed logically, with progressive construction of a framework of basic epidemiologic concepts, such as confounding, selection bias, statistical significance and power, confidence intervals, multiple comparisons, and casual inference criteria."--American Journal of Epidemiology
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