Disease Modelling and Public Health, Part A

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