Handbook of Statistics: Disease Modelling and Public Health, Part A

Handbook of Statistics: Disease Modelling and Public Health, Part A, Volume 36 addresses new challenges in existing and emerging diseases. As a two part volume, the title covers an extensive range of techniques in the field. The lack of availability of complete data relating to disease symptoms and disease epidemiology is one of the biggest challenges facing vaccine developers, public health planners, epidemiologists and health sector researchers. Therefore, it is vital for statisticians to be able to access a number of different methods for assessing epidemic spread in population, or in formulating public health policy. Presents a comprehensive, two-part volume written by leading subject expertsProvides a unique breadth and depth of content coverageAddresses the most cutting-edge developments in the field Includes chapters on Ebola and the Zika virus; topics which have grown in prominence and scholarly output INDICE: 1. Role of Statistical estimation in Public Health measures 2. Dose-Response Relationship of Radiation Damage: Evolution of its Modeling, Controversies, and Possible Impact on Radiation-Risk Assessment 3. Infectious Disease Modeling 4. Bayesian Disease Mapping for Public Health 5. Real time estimation of the case fatality ratio and risk factor of death 6. Alternative Sampling Designs for Time-To-Event Data with Applications to Biomarker Discovery in Alzheimer's Disease 7. Dynamic risk prediction for cardiovascular disease: An illustration using the ARIC Study 8. Theoretical advances in type 2 diabetes 9. Finite Mixture Models in Biostatistics 10. Models of Individual and Collective Behavior for Public Health Epidemiology. 11. Gene set analysis - as applied to public health and biomedical studies 12. Statistical Methods and Data Sources for Epidemiological Analysis of Fatal Rare Diseases. 13. Joint modeling of multiple pollutants on their effects on mortality due to cardiovascular diseases 14. Nonparametric Regression of State Occupation Probabilities in a Multistate Model. 15. Helminth Dynamics: Mean number of Worms, Reproductive Rates 16. Causal Inference in Infectious Disease Studies 17. Bayesian Methods for Public Heath Data: A Case Study in Quantifying Maternal Sleep and Childhood Outcomes 18. Data-driven computational disease spread modeling: from measurement to parametrisation and control 19. Statistical Models for Medical Analyses and Research

• ISBN: 978-0-444-63968-4
• Editorial: North Holland
• Encuadernacion: Cartoné
• Páginas: 420
• Fecha Publicación: 01/10/2017
• Nº Volúmenes: 1
• Idioma: Inglés