Buch, Englisch, 390 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 750 g
Buch, Englisch, 390 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 750 g
ISBN: 978-0-444-63975-2
Verlag: Elsevier Science & Technology
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.
Zielgruppe
Researchers in academia, industry and government, as well as students in statistics, health professionals, clinicians, data scientists and modellers
Fachgebiete
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Public Health, Gesundheitsmanagement, Gesundheitsökonomie, Gesundheitspolitik
- Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
Weitere Infos & Material
Section VI: Statistical Methodologies 1. Imputation of Area-Level Covariates by Registry Linking J.S. Rao and Jie Fan 2. Asymptotic Approaches to Discovering Cancer Genomic Signatures Maciej Pietrzak and Grzegorz A. Rempala 3. Emerging Statistical Methodologies in the Field of Microbiome Studies Siddhartha Mandal
Section VII: Advanced Mathematical Methods 4. Reaction-Diffusion Equations and Their Application on Bacterial Communication Christina Kuttler 5. Hepatitis C Virus (HCV) Treatment as Prevention: Epidemic and Cost-Effectiveness Modeling Natasha K. Martin and Lara K. Marquez 6. Mathematical Modeling of Mass Screening and Parameter Estimation Masayuki Kakehashi and Miwako Tsunematsu 7. Inferring Patterns, Dynamics, and Model-Based Metrics of Epidemiological Risks of Neglected Tropical Diseases Anuj Mubayi 8. Theory and Modeling for Time Required to Vaccinate a Population in an Epidemic Taejin Lee, Kurien Thomas and Arni S.R. Srinivasa Rao
Section VIII: Public Health and Epidemic Data Modeling 9. Frailty Models in Public Health David D. Hanagal 10. Structural Nested Mean Models and History-Adjusted Marginal Structural Models for Time-Varying Effect Modification: An Application to Dental Data Murthy N. Mittinty 11. Conditional Growth Models: An Exposition and Some Extensions Clive Osmond and Caroline H.D. Fall 12. Parametric Model to Predict H1N1 Influenza in Vellore District, Tamil Nadu, India Daphne Lopez and Gunasekaran Manogaran 13. Public Health Eye Care: Modeling Techniques to Translate Evidence Into Effective Action Gudlavalleti V.S. Murthy and Neena S. John 14. Individual-Based Models for Public Health Benjamin Roche and Raphaël Duboz