9780295991849 - an integrative metaregression framework for descriptive epidemiology (publications on global health) (11 Ergebnisse)
- Hardcover
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Hardcover. Zustand: 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.
- Hardcover
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Integrative Metaregression Framework for Descriptive Epidemiology
Flaxman, Abraham D. (EDT); Vos, Theo (EDT); Murray, Christopher J. L. (EDT)
- Hardcover
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- Hardcover
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Hardcover. Zustand: 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.
- Weitere Bilder
Integrative Metaregression Framework for Descriptive Epidemiology
Flaxman, Abraham D. (EDT); Vos, Theo (EDT); Murray, Christopher J. L. (EDT)
- Hardcover
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- Hardcover
- Erstausgabe
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Zustand: New. First book-length treatment of model-based meta-analytic methods for descriptive epidemiology Editor(s): Flaxman, Abraham. Series: Publications on Global Health, Institute for Health Metrics and Evaluation. Num Pages: 600 pages, black & white illustrations. BIC Classification: MBNS. Category: (P) Professional & Voc…ational. Dimension: 263 x 186 x 22. Weight in Grams: 646. . 2015. 1st Edition. Hardcover. . . . .
- Hardcover
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Zustand: New. First book-length treatment of model-based meta-analytic methods for descriptive epidemiology Editor(s): Flaxman, Abraham. Series: Publications on Global Health, Institute for Health Metrics and Evaluation. Num Pages: 600 pages, black & white illustrations. BIC Classification: MBNS. Category: (P) Professional & Voc…ational. Dimension: 263 x 186 x 22. Weight in Grams: 646. . 2015. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
- Hardcover
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Hardcover. Zustand: Brand New. 1st edition. 217 pages. 10.50x7.50x0.75 inches. In Stock.
- Weitere Bilder
An Integrative Metaregression Framework for Descriptive Epidemiology
Abraham D. Flaxman, Theo Vos, Christopher J. L. Murray, editors
- Hardcover
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Hardcover. Zustand: Good. Book in good condition. Pages clean, tight and unmarked. Cover also in good condition, with only very minor spine creasing and scuffing. 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, Injur…ies, 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-leng.
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- Hardcover
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Gebunden. Zustand: New. First book-length treatment of model-based meta-analytic methods for descriptive epidemiologyKlappentextrnrnAbraham D. Flaxman is assistant professor of global health at the Institute for Health Metrics and Evaluation at the Univer.
- Hardcover
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Hardcover. Zustand: 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.




