Integrated Meta-Regression Framework for Descriptive Epidemiology (Publications on Global Health, Institute for Health Metrics and Evaluation)

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9780295991849: Integrated Meta-Regression Framework for Descriptive Epidemiology (Publications on Global Health, Institute for Health Metrics and Evaluation)
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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 over 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. Integrated Meta-Regression 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 modelling 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 relevant data. Practical applications of the model to meta-analysis of more than a dozen different diseases complement the theoretical foundations of the integrative systems modelling 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. Abraham Flaxman is assistant professor of global health in the Institute for Health Metrics and Evaluation at the University of Washington.

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Editorial: University of Washington Press, United States (2015)
ISBN 10: 0295991844 ISBN 13: 9780295991849
Nuevos Tapa dura Cantidad: 10
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Descripción University of Washington Press, United States, 2015. Hardback. Estado de conservación: New. 257 x 180 mm. Language: English . Brand New Book. To provide the tools and knowledge needed in efforts to improve the health of the worlds 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. Nº de ref. de la librería AAJ9780295991849

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Editorial: University of Washington Press, United States (2015)
ISBN 10: 0295991844 ISBN 13: 9780295991849
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Descripción University of Washington Press, United States, 2015. Hardback. Estado de conservación: New. 257 x 180 mm. Language: English . Brand New Book. To provide the tools and knowledge needed in efforts to improve the health of the worlds 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. Nº de ref. de la librería AAJ9780295991849

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Descripción Estado de conservación: New. Depending on your location, this item may ship from the US or UK. Nº de ref. de la librería 97802959918490000000

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Abraham Flaxman
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Descripción University of Washington Press. Hardback. Estado de conservación: new. BRAND NEW, Integrated Meta-Regression Framework for Descriptive Epidemiology, Abraham Flaxman, 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 over 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. Integrated Meta-Regression 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 modelling 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 relevant data. Practical applications of the model to meta-analysis of more than a dozen different diseases complement the theoretical foundations of the integrative systems modelling 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. Abraham Flaxman is assistant professor of global health in the Institute for Health Metrics and Evaluation at the University of Washington. Nº de ref. de la librería B9780295991849

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Descripción John Hopkins University Press. Estado de conservación: New. Brand New. Nº de ref. de la librería 0295991844

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Abraham Flaxman
Editorial: University of Washington Press 2014-09-18 (2014)
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Descripción University of Washington Press 2014-09-18, 2014. Hardcover. Estado de conservación: New. Nº de ref. de la librería NU-MAR-00046039

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Descripción University of Washington Press, 2014. HRD. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería CA-9780295991849

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Descripción University of Washington Press. Estado de conservación: New. pp. 600. Nº de ref. de la librería 96421612

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Descripción University of Washington Press, 2015. Hardcover. Estado de conservación: New. book. Nº de ref. de la librería 0295991844

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Descripción University of Washington Press. Hardcover. Estado de conservación: New. 0295991844 Brand New Book. Ships from the United States. 30 Day Satisfaction Guarantee!. Nº de ref. de la librería 15895249

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