Statistical modelling evidence based public (9 résultats)
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a selection of statistical techniques and methods applied to analyze data arising from HIV/AIDS epidemiology, as well as child and maternal health. Evidence-based decision-making in public health interventions requires appropriate technique…s applied to solve relevant statistical and epidemiological questions, which would, in turn, bring out relevant outputs for action. The different chapters assembled in this book, address various methodological challenges when analyzing HIV/AIDS, child and maternal health data. These include data issues for handling correlated outcomes and repeated measurements generated through longitudinal or follow-up processes, spatial-temporal correlation, measurement error, missingness, co-morbidity, survival analysis, detection of outlying health outcomes, and joint occurrences of outcomes. Essential approaches that enhance statistical science, are presented, when dealing with variable and model selection.Each chapter motivates the problem, provides details of the relevant bio-statistical methods used to tackle the problem, applies the methods to the data, and offers some epidemiological or public health recommendations. Readers can replicate the methods to their data, and R command codes are supplied at the end of each chapter.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AllemagneBuchWeltWeit Ludwig Meier e.K.
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a selection of statistical techniques and methods applied to analyze data arising from HIV/AIDS epidemiology, as well as child and maternal health. Evidence-based decision-making in public health interventions requires appro…priate techniques applied to solve relevant statistical and epidemiological questions, which would, in turn, bring out relevant outputs for action. The different chapters assembled in this book, address various methodological challenges when analyzing HIV/AIDS, child and maternal health data. These include data issues for handling correlated outcomes and repeated measurements generated through longitudinal or follow-up processes, spatial-temporal correlation, measurement error, missingness, co-morbidity, survival analysis, detection of outlying health outcomes, and joint occurrences of outcomes. Essential approaches that enhance statistical science, are presented, when dealing with variable and model selection.Each chapter motivates the problem, provides details of the relevant bio-statistical methods used to tackle the problem, applies the methods to the data, and offers some epidemiological or public health recommendations. Readers can replicate the methods to their data, and R command codes are supplied at the end of each chapter. 580 pp. Englisch.
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Buch. Etat : Neu. Statistical Modelling for Evidence-Based Public Health | Case Studies in HIV/AIDS Epidemiology and Child and Maternal Health | Lawrence N. Kazembe (u. a.) | Buch | Emerging Topics in Statistics and Biostatistics | xxv | Englisch | 2025 | Springer | EAN 9783031972805 | Verantwortliche Person für die EU: Springer… Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a selection of statistical techniques and methods applied to analyze data arising from HIV/AIDS epidemiology, as well as child and maternal health. Evidence-based decision-making in public health interventions requires appropria…te techniques applied to solve relevant statistical and epidemiological questions, which would, in turn, bring out relevant outputs for action. The different chapters assembled in this book, address various methodological challenges when analyzing HIV/AIDS, child and maternal health data. These include data issues for handling correlated outcomes and repeated measurements generated through longitudinal or follow-up processes, spatial-temporal correlation, measurement error, missingness, co-morbidity, survival analysis, detection of outlying health outcomes, and joint occurrences of outcomes. Essential approaches that enhance statistical science, are presented, when dealing with variable and model selection.Each chapter motivates the problem, provides details of the relevant bio-statistical methods used to tackle the problem, applies the methods to the data, and offers some epidemiological or public health recommendations. Readers can replicate the methods to their data, and R command codes are supplied at the end of each chapter.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 580 pp. Englisch.
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