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.
| ISBN: | 9780444639684 |
| Publication date: | 13th October 2017 |
| Author: | Arni S R Srinivasa Rao, Saumyadipta Payne, C Radhakrishna Rao |
| Publisher: | North Holland an imprint of Elsevier Science |
| Format: | Hardback |
| Pagination: | 500 pages |
| Series: | Handbook of Statistics |
| Genres: |
Probability and statistics |
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.
Disease Modelling and Public Health. Part A features in the following genres: Probability and statistics
Hardback. Not Available.
Disease Modelling and Public Health. Part A was written by Arni S R Srinivasa Rao, Saumyadipta Payne, C Radhakrishna Rao and published by North Holland an imprint of Elsevier Science
Disease Modelling and Public Health. Part A has 500 pages
Yes it is part of Handbook of Statistics series