ISBN: 9783032067463 - classical and bayesian statistical approaches in infectious disease data analysis (21 resultados)

Hardback. Condición: Good. This open access book is a comprehensive guide that delves into the statistical methodologies used in public health and infectious disease surveillance. It contrasts the foundational principles and methodologies of both Bayesian and Frequentist statistical approaches, providing a detailed exploration of how these methods are applied to the analysis and interpretation of infectious disease data. The book offers practical guidance on the application of these methods in real-life studies, both for surveillance and research purposes. It highlights the strengths and limitations of each approach and showcases how they can be effectively utilized in various scenarios. A set of R instructions and data examples to reproduce the analyses are provided. Among the topics covered are: Generalized Linear Models in Infectious Disease Analysis and Surveillance: Methods for Independent DataMachine Learning Models for Probabilistic Inference and PredictionGeneralized Linear Models in Infectious Disease Analysis and Surveillance: Methods for Correlated DataResiduals and Overdispersion in Generalized Linear ModelsInterrupted Time Series Model in Infectious Disease Research and SurveillanceGeneralized Linear Models with Missing Data This topic is of particular importance to the field at this time due to the increasing need for accurate analysis and interpretation of infectious disease data, which is crucial for effective decision-making and policy formulation. Classical and Bayesian Statistical Approaches in Infectious Disease Data Analysis is primarily intended for public health professionals in local, national or international agencies; researchers and academics; students; and veterinary and one-health specialists. These readers would find this book valuable for its in-depth analysis, practical guidance, and the critical insights it provides into the application of statistical methods in the ever-evolving field of infectious disease surveillance. …

Hardcover. Condición: new. Hardcover. This open access book is a comprehensive guide that delves into the statistical methodologies used in public health and infectious disease surveillance. It contrasts the foundational principles and methodologies of both Bayesian and Frequentist statistical approaches, providing a detailed exploration of how these methods are applied to the analysis and interpretation of infectious disease data.The book offers practical guidance on the application of these methods in real-life studies, both for surveillance and research purposes. It highlights the strengths and limitations of each approach and showcases how they can be effectively utilized in various scenarios. A set of R instructions and data examples to reproduce the analyses are provided. Among the topics covered are:Generalized Linear Models in Infectious Disease Analysis and Surveillance: Methods for Independent DataMachine Learning Models for Probabilistic Inference and PredictionGeneralized Linear Models in Infectious Disease Analysis and Surveillance: Methods for Correlated DataResiduals and Overdispersion in Generalized Linear ModelsInterrupted Time Series Model in Infectious Disease Research and SurveillanceGeneralized Linear Models with Missing DataThis topic is of particular importance to the field at this time due to the increasing need for accurate analysis and interpretation of infectious disease data, which is crucial for effective decision-making and policy formulation.Classical and Bayesian Statistical Approaches in Infectious Disease Data Analysis is primarily intended for public health professionals in local, national or international agencies; researchers and academics; students; and veterinary and one-health specialists. These readers would find this book valuable for its in-depth analysis, practical guidance, and the critical insights it provides into the application of statistical methods in the ever-evolving field of infectious disease surveillance. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardback. Condición: Good. This open access book is a comprehensive guide that delves into the statistical methodologies used in public health and infectious disease surveillance. It contrasts the foundational principles and methodologies of both Bayesian and Frequentist statistical approaches, providing a detailed exploration of how these methods are applied to the analysis and interpretation of infectious disease data. The book offers practical guidance on the application of these methods in real-life studies, both for surveillance and research purposes. It highlights the strengths and limitations of each approach and showcases how they can be effectively utilized in various scenarios. A set of R instructions and data examples to reproduce the analyses are provided. Among the topics covered are: Generalized Linear Models in Infectious Disease Analysis and Surveillance: Methods for Independent DataMachine Learning Models for Probabilistic Inference and PredictionGeneralized Linear Models in Infectious Disease Analysis and Surveillance: Methods for Correlated DataResiduals and Overdispersion in Generalized Linear ModelsInterrupted Time Series Model in Infectious Disease Research and SurveillanceGeneralized Linear Models with Missing Data This topic is of particular importance to the field at this time due to the increasing need for accurate analysis and interpretation of infectious disease data, which is crucial for effective decision-making and policy formulation. Classical and Bayesian Statistical Approaches in Infectious Disease Data Analysis is primarily intended for public health professionals in local, national or international agencies; researchers and academics; students; and veterinary and one-health specialists. These readers would find this book valuable for its in-depth analysis, practical guidance, and the critical insights it provides into the application of statistical methods in the ever-evolving field of infectious disease surveillance. …

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Condición: As New. Unread book in perfect condition.

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Hardcover. Condición: new. Hardcover. This open access book is a comprehensive guide that delves into the statistical methodologies used in public health and infectious disease surveillance. It contrasts the foundational principles and methodologies of both Bayesian and Frequentist statistical approaches, providing a detailed exploration of how these methods are applied to the analysis and interpretation of infectious disease data.The book offers practical guidance on the application of these methods in real-life studies, both for surveillance and research purposes. It highlights the strengths and limitations of each approach and showcases how they can be effectively utilized in various scenarios. A set of R instructions and data examples to reproduce the analyses are provided. Among the topics covered are:Generalized Linear Models in Infectious Disease Analysis and Surveillance: Methods for Independent DataMachine Learning Models for Probabilistic Inference and PredictionGeneralized Linear Models in Infectious Disease Analysis and Surveillance: Methods for Correlated DataResiduals and Overdispersion in Generalized Linear ModelsInterrupted Time Series Model in Infectious Disease Research and SurveillanceGeneralized Linear Models with Missing DataThis topic is of particular importance to the field at this time due to the increasing need for accurate analysis and interpretation of infectious disease data, which is crucial for effective decision-making and policy formulation.Classical and Bayesian Statistical Approaches in Infectious Disease Data Analysis is primarily intended for public health professionals in local, national or international agencies; researchers and academics; students; and veterinary and one-health specialists. These readers would find this book valuable for its in-depth analysis, practical guidance, and the critical insights it provides into the application of statistical methods in the ever-evolving field of infectious disease surveillance. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access book is a comprehensive guide that delves into the statistical methodologies used in public health and infectious disease surveillance. It contrasts the foundational principles and methodologies of both Bayesian and Frequentist statistical approaches, providing a detailed exploration of how these methods are applied to the analysis and interpretation of infectious disease data.The book offers practical guidance on the application of these methods in real-life studies, both for surveillance and research purposes. It highlights the strengths and limitations of each approach and showcases how they can be effectively utilized in various scenarios. A set of R instructions and data examples to reproduce the analyses are provided. Among the topics covered are:Generalized Linear Models in Infectious Disease Analysis and Surveillance: Methods for Independent DataMachine Learning Models for Probabilistic Inference and PredictionGeneralized Linear Models in Infectious Disease Analysis and Surveillance: Methods for Correlated DataResiduals and Overdispersion in Generalized Linear ModelsInterrupted Time Series Model in Infectious Disease Research and SurveillanceGeneralized Linear Models with Missing DataThis topic is of particular importance to the field at this time due to the increasing need for accurate analysis and interpretation of infectious disease data, which is crucial for effective decision-making and policy formulation.Classical and Bayesian Statistical Approaches in Infectious Disease Data Analysis is primarily intended for public health professionals in local, national or international agencies;researchers and academics; students; andveterinary and one-health specialists. These readers would find this book valuable for its in-depth analysis, practical guidance, and the critical insights it provides into the application of statistical methods in the ever-evolving field of infectious disease surveillance.…

Hardcover. Condición: Brand New. 356 pages. 9.25x6.10x9.21 inches. In Stock.

Condición: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

Hardcover. Condición: new. Hardcover. This open access book is a comprehensive guide that delves into the statistical methodologies used in public health and infectious disease surveillance. It contrasts the foundational principles and methodologies of both Bayesian and Frequentist statistical approaches, providing a detailed exploration of how these methods are applied to the analysis and interpretation of infectious disease data.The book offers practical guidance on the application of these methods in real-life studies, both for surveillance and research purposes. It highlights the strengths and limitations of each approach and showcases how they can be effectively utilized in various scenarios. A set of R instructions and data examples to reproduce the analyses are provided. Among the topics covered are:Generalized Linear Models in Infectious Disease Analysis and Surveillance: Methods for Independent DataMachine Learning Models for Probabilistic Inference and PredictionGeneralized Linear Models in Infectious Disease Analysis and Surveillance: Methods for Correlated DataResiduals and Overdispersion in Generalized Linear ModelsInterrupted Time Series Model in Infectious Disease Research and SurveillanceGeneralized Linear Models with Missing DataThis topic is of particular importance to the field at this time due to the increasing need for accurate analysis and interpretation of infectious disease data, which is crucial for effective decision-making and policy formulation.Classical and Bayesian Statistical Approaches in Infectious Disease Data Analysis is primarily intended for public health professionals in local, national or international agencies; researchers and academics; students; and veterinary and one-health specialists. These readers would find this book valuable for its in-depth analysis, practical guidance, and the critical insights it provides into the application of statistical methods in the ever-evolving field of infectious disease surveillance. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

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Hardcover. Condición: Brand New. 356 pages. 9.25x6.10x9.21 inches. In Stock. This item is printed on demand.

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This open access book is a comprehensive guide that delves into the statistical methodologies used in public health and infectious disease surveillance. It contrasts the foundational principles and methodologies of both Bayesian and Frequentist statistical approaches, providing a detailed exploration of how these methods are applied to the analysis and interpretation of infectious disease data.The book offers practical guidance on the application of these methods in real-life studies, both for surveillance and research purposes. It highlights the strengths and limitations of each approach and showcases how they can be effectively utilized in various scenarios. A set of R instructions and data examples to reproduce the analyses are provided. Among the topics covered are:Generalized Linear Models in Infectious Disease Analysis and Surveillance: Methods for Independent DataMachine Learning Models for Probabilistic Inference and PredictionGeneralized Linear Models in Infectious Disease Analysis and Surveillance: Methods for Correlated DataResiduals and Overdispersion in Generalized Linear ModelsInterrupted Time Series Model in Infectious Disease Research and SurveillanceGeneralized Linear Models with Missing DataThis topic is of particular importance to the field at this time due to the increasing need for accurate analysis and interpretation of infectious disease data, which is crucial for effective decision-making and policy formulation.Classical and Bayesian Statistical Approaches in Infectious Disease Data Analysis is primarily intended for public health professionals in local, national or international agencies;researchers and academics; students; andveterinary and one-health specialists. These readers would find this book valuable for its in-depth analysis, practical guidance, and the critical insights it provides into the application of statistical methods in the ever-evolving field of infectious disease surveillance. 356 pp. Englisch.…

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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This open access book is a comprehensive guide that delves into the statistical methodologies used in public health and infectious disease surveillance. It contrasts the foundational principles and methodologies of both Bayesian and Frequentist statistical approaches, providing a detailed exploration of how these methods are applied to the analysis and interpretation of infectious disease data.The book offers practical guidance on the application of these methods in real-life studies, both for surveillance and research purposes. It highlights the strengths and limitations of each approach and showcases how they can be effectively utilized in various scenarios. A set of R instructions and data examples to reproduce the analyses are provided. Among the topics covered are:Generalized Linear Models in Infectious Disease Analysis and Surveillance: Methods for Independent DataMachine Learning Models for Probabilistic Inference and PredictionGeneralized Linear Models in Infectious Disease Analysis and Surveillance: Methods for Correlated DataResiduals and Overdispersion in Generalized Linear ModelsInterrupted Time Series Model in Infectious Disease Research and SurveillanceGeneralized Linear Models with Missing DataThis topic is of particular importance to the field at this time due to the increasing need for accurate analysis and interpretation of infectious disease data, which is crucial for effective decision-making and policy formulation.Classical and Bayesian Statistical Approaches in Infectious Disease Data Analysis is primarily intended for public health professionals in local, national or international agencies; researchers and academics; students; and veterinary and one-health specialists. These readers would find this book valuable for its in-depth analysis, practical guidance, and the critical insights it provides into the application of statistical methods in the ever-evolving field of infectious disease surveillance.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 356 pp. Englisch.…