Disease Modelling and Public Health, Part A
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portes grátis
Disease Modelling and Public Health, Part A
; ;
Elsevier Science & Technology
10/2017
500
Dura
Inglês
9780444639684
15 a 20 dias
Descrição não disponível.
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 Nuno 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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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 Nuno 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
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
