Disease Modelling and Public Health, Part a (Handbook of Statistics)

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Disease Modelling and Public Health, Part a (Handbook of Statistics)

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  • 製本 Hardcover:ハードカバー版/ページ数 500 p.
  • 言語 ENG
  • 商品コード 9780444639684
  • DDC分類 616.0015118

Full 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.

Contents

1. Fundamentals of Mathematical Models of Infectious Diseases and Their Application to Data Analyses
Masayuki Kakehashi and Shoko Kawano
2. Dynamic Risk Prediction for Cardiovascular Disease: An Illustration Using the ARIC Study
Jessica K. Barrett, Michael J. Sweeting and Angela M. Wood
3. Statistical Models for Selected Infectious Diseases
Poduri S.R.S. Rao
4. Finite Mixture Models in Biostatistics
Sharon X. Lee, Shu-Kay Ng and Geoffrey J. McLachlan
5. Alternative Sampling Designs for Time-to-Event Data With Applications to Biomarker Discovery in Alzheimer's Disease
Michelle Nuño and Daniel L. Gillen
6. Real-Time Estimation of the Case Fatality Ratio and Risk Factors of Death
Hiroshi Nishiura
7. Nonparametric Regression of State Occupation Probabilities in a Multistate Model
Sutirtha Chakraborty, Somnath Datta and Susmita Datta
8. Gene Set Analysis: As Applied to Public Health and Biomedical Studies
Shabnam Vatanpour and Irina Dinu
9. Causal Inference in the Study of Infectious Disease
Bradley C. Saul, Michael G. Hudgens and M. Elizabeth Halloran
10. Computational Modeling Approaches in Global Health: Sensitivity of Social Determinants on the Patterns of Health Behaviors and Diseases
Anuj Mubayi
11. Data-Driven Computational Disease Spread Modeling: From Measurement to Parametrization and Control
Stefan Engblom and Stefan Widgren
12. Individual and Collective Behavior in Public Health Epidemiology
Jiangzhuo Chen, Bryan Lewis, Achla Marathe, Madhav Marathe, Samarth Swarup and Anil K.S. Vullikanti
13. Theoretical Advances in Type 2 Diabetes
Pranay Goel
14. Helminth Dynamics: Mean Number of Worms, Reproductive Rates
Arni S.R. Srinivasa Rao and Roy M. Anderson
15. Bayesian Methods in Public Health
Wesley O. Johnson, Elizabeth B. Ward and Daniel L. Gillen
16. Bayesian Disease Mapping for Public Health
Andrew Lawson and Duncan Lee

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