Disease Modelling and Public Health, Part A
Elsevier (Publisher)
Published on 13. October 2017
500 pages
978-0-444-63969-1 (ISBN)
Description
Disease Modelling and Public Health, Part A, Volume 36 addresses new challenges in existing and emerging diseases with a variety of comprehensive chapters that cover Infectious Disease Modeling, Bayesian Disease Mapping for Public Health, Real time estimation of the case fatality ratio and risk factor of death, Alternative Sampling Designs for Time-To-Event Data with Applications to Biomarker Discovery in Alzheimer's Disease, Dynamic risk prediction for cardiovascular disease: An illustration using the ARIC Study, Theoretical advances in type 2 diabetes, Finite Mixture Models in Biostatistics, and Models of Individual and Collective Behavior for Public Health Epidemiology.
As a two part volume, the series covers an extensive range of techniques in the field. It present a vital resource for statisticians who need 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 experts
- Provides a unique breadth and depth of content coverage
- Addresses 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
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Additional editions
Arni S.R. Srinivasa Rao | Saumyadipta Pyne | C. R. Rao
Disease Modelling and Public Health, Part A: Volume 36
Book
10/2017
North-Holland
€229.03
Shipment within 15-20 days
Persons
Content
1. Fundamentals of Mathematical Models of Infectious Diseases and Their Application to Data AnalysesMasayuki Kakehashi and Shoko Kawano2. Dynamic Risk Prediction for Cardiovascular Disease: An Illustration Using the ARIC StudyJessica K. Barrett, Michael J. Sweeting and Angela M. Wood3. Statistical Models for Selected Infectious DiseasesPoduri S.R.S. Rao4. Finite Mixture Models in BiostatisticsSharon X. Lee, Shu-Kay Ng and Geoffrey J. McLachlan5. Alternative Sampling Designs for Time-to-Event Data With Applications to Biomarker Discovery in Alzheimer's DiseaseMichelle Nuño and Daniel L. Gillen6. Real-Time Estimation of the Case Fatality Ratio and Risk Factors of DeathHiroshi Nishiura7. Nonparametric Regression of State Occupation Probabilities in a Multistate ModelSutirtha Chakraborty, Somnath Datta and Susmita Datta8. Gene Set Analysis: As Applied to Public Health and Biomedical StudiesShabnam Vatanpour and Irina Dinu9. Causal Inference in the Study of Infectious DiseaseBradley C. Saul, Michael G. Hudgens and M. Elizabeth Halloran10. Computational Modeling Approaches in Global Health: Sensitivity of Social Determinants on the Patterns of Health Behaviors and DiseasesAnuj Mubayi11. Data-Driven Computational Disease Spread Modeling: From Measurement to Parametrization and ControlStefan Engblom and Stefan Widgren12. Individual and Collective Behavior in Public Health EpidemiologyJiangzhuo Chen, Bryan Lewis, Achla Marathe, Madhav Marathe, Samarth Swarup and Anil K.S. Vullikanti13. Theoretical Advances in Type 2 DiabetesPranay Goel14. Helminth Dynamics: Mean Number of Worms, Reproductive RatesArni S.R. Srinivasa Rao and Roy M. Anderson15. Bayesian Methods in Public HealthWesley O. Johnson, Elizabeth B. Ward and Daniel L. Gillen16. Bayesian Disease Mapping for Public HealthAndrew Lawson and Duncan Lee
