Language: English
Published by University of Washington Press, 2015
ISBN 10: 0295991844 ISBN 13: 9780295991849
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Hardcover. Condition: Good. Good - Bumped and creased book with tears to the extremities, but not affecting the text block, may have remainder mark or previous owner's name - GOOD Standard-sized.
Language: English
Published by University of Washington Press, 2015
ISBN 10: 0295991844 ISBN 13: 9780295991849
Seller: Midtown Scholar Bookstore, Harrisburg, PA, U.S.A.
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Language: English
Published by University of Washington Press, Seattle, 2015
ISBN 10: 0295991844 ISBN 13: 9780295991849
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Hardcover. Condition: new. Hardcover. To provide the tools and knowledge needed in efforts to improve the health of the world's populations, researchers collaborated on the Global Burden of Diseases, Injuries, and Risk Factors Study 2010. The study produced comprehensive estimates of more than 200 diseases and health risk factors in 187 countries over two decades, results that will be used by governments and non-governmental agencies to inform priorities for global health research, policies, and funding.An Integrative Metaregression Framework for Descriptive Epidemiology is the first book-length treatment of model-based meta-analytic methods for descriptive epidemiology used in the Global Burden of Disease Study 2010. In addition to collecting the prior work on compartmental modeling of disease, this book significantly extends the model by formally connecting the system dynamics model of disease progression to a statistical model of epidemiological rates and demonstrates how the two models were combined to allow researchers to integrate all available relevant data. Practical applications of the model to meta-analysis of several different diseases complement the theoretical foundations of what the editors call the integrative systems modeling of disease in populations. The book concludes with a detailed description of the future directions for research in model-based meta-analysis of descriptive epidemiological data. First book-length treatment of model-based meta-analytic methods for descriptive epidemiology Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by University of Washington Press, 2015
ISBN 10: 0295991844 ISBN 13: 9780295991849
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by University of Washington Press, 2015
ISBN 10: 0295991844 ISBN 13: 9780295991849
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by MV - University of Washington Press, 2015
ISBN 10: 0295991844 ISBN 13: 9780295991849
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Language: English
Published by University of Washington Press, 2015
ISBN 10: 0295991844 ISBN 13: 9780295991849
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Language: English
Published by University of Washington Press, 2015
ISBN 10: 0295991844 ISBN 13: 9780295991849
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Language: English
Published by University of Washington Press, 2015
ISBN 10: 0295991844 ISBN 13: 9780295991849
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Language: English
Published by University of Washington Press, 2015
ISBN 10: 0295991844 ISBN 13: 9780295991849
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Language: English
Published by University of Washington Press, Seattle, 2015
ISBN 10: 0295991844 ISBN 13: 9780295991849
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Hardcover. Condition: new. Hardcover. To provide the tools and knowledge needed in efforts to improve the health of the world's populations, researchers collaborated on the Global Burden of Diseases, Injuries, and Risk Factors Study 2010. The study produced comprehensive estimates of more than 200 diseases and health risk factors in 187 countries over two decades, results that will be used by governments and non-governmental agencies to inform priorities for global health research, policies, and funding.An Integrative Metaregression Framework for Descriptive Epidemiology is the first book-length treatment of model-based meta-analytic methods for descriptive epidemiology used in the Global Burden of Disease Study 2010. In addition to collecting the prior work on compartmental modeling of disease, this book significantly extends the model by formally connecting the system dynamics model of disease progression to a statistical model of epidemiological rates and demonstrates how the two models were combined to allow researchers to integrate all available relevant data. Practical applications of the model to meta-analysis of several different diseases complement the theoretical foundations of what the editors call the integrative systems modeling of disease in populations. The book concludes with a detailed description of the future directions for research in model-based meta-analysis of descriptive epidemiological data. First book-length treatment of model-based meta-analytic methods for descriptive epidemiology Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.