Disease modelling and public health Volume 37, Part B [eBook] / edited by Arni S.R. Srinivasa Rao, Saumyadipta Pyne and C.R. Rao.
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| Edition | 1st ed. |
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| Contents | 1. Imputation of Area-Level Covariates by Registry Linking--2. Asymptotic Approaches to Discovering Cancer Genomic Signatures--3. Emerging Statistical Methodologies in the Field of Microbiome Studies--4. Reaction–Diffusion Equations and Their Application on Bacterial Communication--5. Hepatitis C Virus (HCV) Treatment as Prevention: Epidemic and Cost-Effectiveness Modeling--6. Mathematical Modeling of Mass Screening and Parameter Estimation--7. Inferring Patterns, Dynamics, and Model-Based Metrics of Epidemiological Risks of Neglected Tropical Diseases--8. Theory and Modeling for Time Required to Vaccinate a Population in an Epidemic--9. Frailty Models in Public Health--10. Structural Nested Mean Models and History-Adjusted Marginal Structural Models for Time-Varying Effect Modification: An Application to Dental Data--11. Conditional Growth Models: An Exposition and Some Extensions--12. Parametric Model to Predict H1N1 Influenza in Vellore District, Tamil Nadu, India--13. Public Health Eye Care: Modeling Techniques to Translate Evidence Into Effective Action--14. Individual-Based Models for Public Health. |
| Multimedia | |
| Physical Description | 1 online resource (xvi, 374 pages) : ill., digital, PDF file(s). |
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$a Disease modelling and public health $n Volume 37, Part B $h [eBook] / $c edited by Arni S.R. Srinivasa Rao, Saumyadipta Pyne and C.R. Rao.
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$a 1st ed.
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$a Amsterdam, Netherlands : $b North Holland, is an imprint of Elsevier, $c ©2017.
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$a 1 online resource (xvi, 374 pages) : $b ill., digital, PDF file(s).
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$a text $b txt $2 rdacontent
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$a Handbook of statistics ; $v Volume 37.
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$a Includes bibliographical references and index.
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$a 1. Imputation of Area-Level Covariates by Registry Linking--2. Asymptotic Approaches to Discovering Cancer Genomic Signatures--3. Emerging Statistical Methodologies in the Field of Microbiome Studies--4. Reaction–Diffusion Equations and Their Application on Bacterial Communication--5. Hepatitis C Virus (HCV) Treatment as Prevention: Epidemic and Cost-Effectiveness Modeling--6. Mathematical Modeling of Mass Screening and Parameter Estimation--7. Inferring Patterns, Dynamics, and Model-Based Metrics of Epidemiological Risks of Neglected Tropical Diseases--8. Theory and Modeling for Time Required to Vaccinate a Population in an Epidemic--9. Frailty Models in Public Health--10. Structural Nested Mean Models and History-Adjusted Marginal Structural Models for Time-Varying Effect Modification: An Application to Dental Data--11. Conditional Growth Models: An Exposition and Some Extensions--12. Parametric Model to Predict H1N1 Influenza in Vellore District, Tamil Nadu, India--13. Public Health Eye Care: Modeling Techniques to Translate Evidence Into Effective Action--14. Individual-Based Models for Public Health.
520
$a Handbook of Statistics: Disease Modelling and Public Health, Part B, Volume 37 addresses new challenges in existing and emerging diseases. As a two part volume, this title covers an extensive range of techniques in the field, with this book including chapters on Reaction diffusion equations and their application on bacterial communication, Spike and slab methods in disease modeling, Mathematical modeling of mass screening and parameter estimation, Individual-based and agent-based models for infectious disease transmission and evolution: an overview, and a section on Visual Clustering of Static and Dynamic High Dimensional Data.
This volume covers the lack of availability of complete data relating to disease symptoms and disease epidemiology, one of the biggest challenges facing vaccine developers, public health planners, epidemiologists and health sector researchers.
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$a Epidemiology $x Statistical methods.
650
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$a Diseases $x Statistical methods.
650
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$a Diseases $x Mathematical models.
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$a Public health.
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$a Rao, Arni S.R. Srinivasa, $e editor.
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$a Pyne, Saumyadipta, $e editor.
700
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$a Rao, C.R., $e editor.
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$i Printed edition: $z 9780444639752
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$a Handbook of statistics ; $v Volume 37.
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$u https://www.sciencedirect.com/handbook/handbook-of-statistics/vol/37/suppl/C $y Click here to view eBook.
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| Subject | |
| Summary | Handbook of Statistics: Disease Modelling and Public Health, Part B, Volume 37 addresses new challenges in existing and emerging diseases. As a two part volume, this title covers an extensive range of techniques in the field, with this book including chapters on Reaction diffusion equations and their application on bacterial communication, Spike and slab methods in disease modeling, Mathematical modeling of mass screening and parameter estimation, Individual-based and agent-based models for infectious disease transmission and evolution: an overview, and a section on Visual Clustering of Static and Dynamic High Dimensional Data.
This volume covers the lack of availability of complete data relating to disease symptoms and disease epidemiology, one of the biggest challenges facing vaccine developers, public health planners, epidemiologists and health sector researchers. |