Modern Biostatistical Methods for Evidence-Based Global Health Research

ISBN 10: 3031110137 ISBN 13: 9783031110139

Verlag: Springer, 2022

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This book provides an overview of the emerging topics in biostatistical theories and methods through their applications to evidence-based global health research and decision-making. It brings together some of the top scholars engaged in biostatistical method development on global health to highlight and describe recent advances in evidence-based global health applications. The volume is composed of five main parts: data harmonization and analysis; systematic review and statistical meta-analysis; spatial-temporal modeling and disease mapping; Bayesian statistical modeling; and statistical methods for longitudinal data or survival data.

It is designed to be illuminating and valuable to both expert biostatisticians and to health researchers engaged in methodological applications in evidence-based global health research. It is particularly relevant to countries where global health research is being rigorously conducted.

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Titel: Modern Biostatistical Methods for ...
Verlag: Springer
Erscheinungsdatum: 2022
Einband: Softcover
Zustand: New

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Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 504 | Sprache: Englisch | Produktart: B�cher | This book provides an overview of the emerging topics in biostatistical theories and methods through their applications to evidence-based global health research and decision-making. It brings together some of the top scholars engaged in biostatistical method development on global health to highlight and describe recent advances in evidence-based global health applications. The volume is composed of five main parts: data harmonization and analysis; systematic review and statistical meta-analysis; spatial-temporal modeling and disease mapping; Bayesian statistical modeling; and statistical methods for longitudinal data or survival data. It is designed to be illuminating and valuable to both expert biostatisticians and to health researchers engaged in methodological applications in evidence-based global health research. It is particularly relevant to countries where global health research is being rigorously conducted. Artikel-Nr. 40959875/1

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Modern Biostatistical Methods for Evidence-Based Global Health Research

Ding-Geng (Din) Chen

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ISBN 10: 3031110110 ISBN 13: 9783031110115

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Modern Biostatistical Methods for Evidence-Based Global Health Research

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Modern Biostatistical Methods for Evidence-Based Global Health Research

Verlag: Springer, Berlin|Springer International Publishing|Springer, 2022

ISBN 10: 3031110110 ISBN 13: 9783031110115

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Zustand: New. This book provides an overview of the emerging topics in biostatistical theories and methods through their applications to evidence-based global health research and decision-making. It brings together some of the top scholars engaged in biostatistical me. Artikel-Nr. 611592230

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Modern Biostatistical Methods for Evidence-Based Global Health Research

Ding-Geng (Din) Chen

Verlag: Springer, Springer, 2022

ISBN 10: 3031110110 ISBN 13: 9783031110115

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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an overview of the emerging topics in biostatistical theories and methods through their applications to evidence-based global health research and decision-making. It brings together some of the top scholars engaged in biostatistical method development on global health to highlight and describe recent advances in evidence-based global health applications. The volume is composed of five main parts: data harmonization and analysis; systematic review and statistical meta-analysis; spatial-temporal modeling and disease mapping; Bayesian statistical modeling; and statistical methods for longitudinal data or survival data. It is designed to be illuminating and valuable to both expert biostatisticians and to health researchers engaged in methodological applications in evidence-based global health research. It is particularly relevant to countries where global health research is being rigorously conducted. Artikel-Nr. 9783031110115

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Modern Biostatistical Methods for Evidence-Based Global Health Research

Ding-Geng (Din) Chen

Verlag: Springer, Springer, 2023

ISBN 10: 3031110145 ISBN 13: 9783031110146

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an overview of the emerging topics in biostatistical theories and methods through their applications to evidence-based global health research and decision-making. It brings together some of the top scholars engaged in biostatistical method development on global health to highlight and describe recent advances in evidence-based global health applications. The volume is composed of five main parts: data harmonization and analysis; systematic review and statistical meta-analysis; spatial-temporal modeling and disease mapping; Bayesian statistical modeling; and statistical methods for longitudinal data or survival data. It is designed to be illuminating and valuable to both expert biostatisticians and to health researchers engaged in methodological applications in evidence-based global health research. It is particularly relevant to countries where global health research is being rigorously conducted. Artikel-Nr. 9783031110146

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Modern Biostatistical Methods for Evidence-Based Global Health Research

Ding-Geng (Din) Chen

Verlag: Springer International Publishing, Springer International Publishing Nov 2023, 2023

ISBN 10: 3031110145 ISBN 13: 9783031110146

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Taschenbuch. Zustand: Neu. Neuware -This book provides an overview of the emerging topics in biostatistical theories and methods through their applications to evidence-based global health research and decision-making. It brings together some of the top scholars engaged in biostatistical method development on global health to highlight and describe recent advances in evidence-based global health applications. The volume is composed of five main parts: data harmonization and analysis; systematic review and statistical meta-analysis; spatial-temporal modeling and disease mapping; Bayesian statistical modeling; and statistical methods for longitudinal data or survival data.It is designed to be illuminating and valuable to both expert biostatisticians and to health researchers engaged in methodological applications in evidence-based global health research. It is particularly relevant to countries where global health research is being rigorously conducted.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 504 pp. Englisch. Artikel-Nr. 9783031110146

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