Classical and Bayesian Statistical Approaches in Infectious Disease Data Analysis
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 exploratio...
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| Materiálatiipa: | Online |
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Springer Nature
2025
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| Liŋkkat: | ONIX_20251128T131701_9783032067470_13 |
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| _version_ | 1869524061333225472 |
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| author | Khan, Noor Muhammad Baldi, Ileana Chiaruttini, Maria Vittoria Gregori, Dario |
| author_browse | Baldi, Ileana Chiaruttini, Maria Vittoria Gregori, Dario Khan, Noor Muhammad |
| author_facet | Khan, Noor Muhammad Baldi, Ileana Chiaruttini, Maria Vittoria Gregori, Dario |
| author_sort | Khan, Noor Muhammad |
| collection | Directory of Open Access Books |
| description | 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 Data Machine Learning Models for Probabilistic Inference and Prediction Generalized Linear Models in Infectious Disease Analysis and Surveillance: Methods for Correlated Data Residuals and Overdispersion in Generalized Linear Models Interrupted Time Series Model in Infectious Disease Research and Surveillance Generalized 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. |
| format | Online |
| id | doab-20.500.12854ir-169629 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1696292025-11-29T07:44:05Z Classical and Bayesian Statistical Approaches in Infectious Disease Data Analysis Khan, Noor Muhammad Baldi, Ileana Chiaruttini, Maria Vittoria Gregori, Dario Open Access Infectious disease statistics Bayesian vs. Frequentist Public health data analysis Statistical methods in epidemiology Bayesian analysis in public health Frequentist approach in disease surveillance Infectious disease surveillance techniques Statistical guidance for infection data Bayesian statistical methods Frequentist statistical principles Comparative statistical methodologies Practical statistical applications in health Infectious disease data analysis thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine::MBNS Epidemiology and Medical statistics thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics::PBTB Bayesian inference 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 Data Machine Learning Models for Probabilistic Inference and Prediction Generalized Linear Models in Infectious Disease Analysis and Surveillance: Methods for Correlated Data Residuals and Overdispersion in Generalized Linear Models Interrupted Time Series Model in Infectious Disease Research and Surveillance Generalized 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. 2025-11-29T07:44:04Z 2025-11-29T07:44:04Z 2025-11-28T12:19:26Z 2026 book ONIX_20251128T131701_9783032067470_13 https://library.oapen.org/handle/20.500.12657/108649 9783032067470 9783032067463 https://directory.doabooks.org/handle/20.500.12854/169629 eng Medicine; Medicine (R0) open access image/jpeg n/a https://library.oapen.org/bitstream/20.500.12657/108649/1/9783032067470.pdf Springer Nature Springer 10.1007/978-3-032-06747-0 10.1007/978-3-032-06747-0 9fa3421d-f917-4153-b9ab-fc337c396b5a af5e006c-8c36-4336-a3f1-163caa26faee f2e936b9-b45a-4c25-945f-5411d0da5a30 9783032067470 9783032067463 Springer 336 Cham [...] European Centre for Disease Prevention and Control ECDC 10.13039/501100000805 open access |
| spellingShingle | Open Access Infectious disease statistics Bayesian vs. Frequentist Public health data analysis Statistical methods in epidemiology Bayesian analysis in public health Frequentist approach in disease surveillance Infectious disease surveillance techniques Statistical guidance for infection data Bayesian statistical methods Frequentist statistical principles Comparative statistical methodologies Practical statistical applications in health Infectious disease data analysis thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine::MBNS Epidemiology and Medical statistics thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics::PBTB Bayesian inference Khan, Noor Muhammad Baldi, Ileana Chiaruttini, Maria Vittoria Gregori, Dario Classical and Bayesian Statistical Approaches in Infectious Disease Data Analysis |
| title | Classical and Bayesian Statistical Approaches in Infectious Disease Data Analysis |
| title_full | Classical and Bayesian Statistical Approaches in Infectious Disease Data Analysis |
| title_fullStr | Classical and Bayesian Statistical Approaches in Infectious Disease Data Analysis |
| title_full_unstemmed | Classical and Bayesian Statistical Approaches in Infectious Disease Data Analysis |
| title_short | Classical and Bayesian Statistical Approaches in Infectious Disease Data Analysis |
| title_sort | classical and bayesian statistical approaches in infectious disease data analysis |
| topic | Open Access Infectious disease statistics Bayesian vs. Frequentist Public health data analysis Statistical methods in epidemiology Bayesian analysis in public health Frequentist approach in disease surveillance Infectious disease surveillance techniques Statistical guidance for infection data Bayesian statistical methods Frequentist statistical principles Comparative statistical methodologies Practical statistical applications in health Infectious disease data analysis thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine::MBNS Epidemiology and Medical statistics thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics::PBTB Bayesian inference |
| topic_facet | Open Access Infectious disease statistics Bayesian vs. Frequentist Public health data analysis Statistical methods in epidemiology Bayesian analysis in public health Frequentist approach in disease surveillance Infectious disease surveillance techniques Statistical guidance for infection data Bayesian statistical methods Frequentist statistical principles Comparative statistical methodologies Practical statistical applications in health Infectious disease data analysis thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine::MBNS Epidemiology and Medical statistics thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics::PBTB Bayesian inference |
| url | ONIX_20251128T131701_9783032067470_13 |
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