Methodologies for Community Health Assessment in Areas of Concern PDF Download
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Author:
Publisher:
ISBN:
Category : Electromagnetic fields
Languages : en
Pages : 144
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Book Description
Author:
Publisher:
ISBN:
Category : Electromagnetic fields
Languages : en
Pages : 144
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Author: David O. Carpenter
Publisher:
ISBN:
Category :
Languages : en
Pages : 130
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Author:
Publisher:
ISBN:
Category : Electromagnetic fields
Languages : en
Pages : 940
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Author:
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ISBN:
Category :
Languages : en
Pages :
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Author:
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ISBN:
Category : Environmental health
Languages : en
Pages : 1520
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Author:
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ISBN:
Category : Air
Languages : en
Pages : 152
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Author: National Research Council
Publisher: National Academies Press
ISBN: 0309054478
Category : Science
Languages : en
Pages : 379
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Book Description
Can the electric and magnetic fields (EMF) to which people are routinely exposed cause health effects? This volume assesses the data and draws conclusions about the consequences of human exposure to EMF. The committee examines what is known about three kinds of health effects associated with EMF: cancer, primarily childhood leukemia; reproduction and development; and neurobiological effects. This book provides a detailed discussion of hazard identification, dose-response assessment, exposure assessment, and risk characterization for each. Possible Health Effects of Exposure to Residential Electric and Magnetic Fields also discusses the tools available to measure exposure, common types of exposures, and what is known about the effects of exposure. The committee looks at correlations between EMF exposure and carcinogenesis, mutagenesis, neurobehavioral effects, reproductive and developmental effects, effects on melatonin and other neurochemicals, and effects on bone healing and stimulated cell growth.
Author: Texas. Electro-Magnetic Health Effects Committee
Publisher:
ISBN:
Category : Electric power supplies to apparatus
Languages : en
Pages : 288
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Author: Theodore R. Holford
Publisher: Oxford University Press
ISBN: 0199747768
Category : Medical
Languages : en
Pages : 427
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Book Description
The basis for much of medical public health practice comes from epidemiological research. This text describes current statistical tools that are used to analyze the association between possible risk factors and the actual risk of disease. Beginning with a broad conceptual framework on the disease process, it describes commonly used techniques for analyzing proportions and disease rates. These are then extended to model fitting, and the common threads of logic that bind the two analytic strategies together are revealed. Each chapter provides a descriptive rationale for the method, a worked example using data from a published study, and an exercise that allows the reader to practice the technique. Each chapter also includes an appendix that provides further details on the theoretical underpinnings of the method. Among the topics covered are Mantel-Haenszel methods, rates, survival analysis, logistic regression, and generalized linear models. Methods for incorporating aspects of study design, such as matching, into the analysis are discussed, and guidance is given for determining the power or the sample size requirements of a study. This text will give readers a foundation in applied statistics and the concepts of model fitting to develop skills in the analysis of epidemiological data.
Author: Timothy L. Lash
Publisher: Springer Science & Business Media
ISBN: 0387879595
Category : Medical
Languages : en
Pages : 200
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Book Description
Bias analysis quantifies the influence of systematic error on an epidemiology study’s estimate of association. The fundamental methods of bias analysis in epi- miology have been well described for decades, yet are seldom applied in published presentations of epidemiologic research. More recent advances in bias analysis, such as probabilistic bias analysis, appear even more rarely. We suspect that there are both supply-side and demand-side explanations for the scarcity of bias analysis. On the demand side, journal reviewers and editors seldom request that authors address systematic error aside from listing them as limitations of their particular study. This listing is often accompanied by explanations for why the limitations should not pose much concern. On the supply side, methods for bias analysis receive little attention in most epidemiology curriculums, are often scattered throughout textbooks or absent from them altogether, and cannot be implemented easily using standard statistical computing software. Our objective in this text is to reduce these supply-side barriers, with the hope that demand for quantitative bias analysis will follow.