Disease Modelling and Public Health, Part B

<p>Section VI : Statistical Methodologies<br>1. Imputation of Area-Level Covariates by Registry Linking<br>J.S. Rao and Jie Fan<br>2. Asymptotic Approaches to Discovering Cancer Genomic Signatures<br>Maciej Pietrzak and Grzegorz A. Rempala<br>3. Emerging Statistical Methodologies in the Field of Microbiome Studies<br>Siddhartha Mandal</p> <p>Section VII : Advanced Mathematical Methods<br>4. Reaction–Diffusion Equations and Their Application on Bacterial Communication<br>Christina Kuttler<br>5. Hepatitis C Virus (HCV) Treatment as Prevention: Epidemic and Cost-Effectiveness Modeling<br>Natasha K. Martin and Lara K. Marquez<br>6. Mathematical Modeling of Mass Screening and Parameter Estimation<br>Masayuki Kakehashi and Miwako Tsunematsu<br>7. Inferring Patterns, Dynamics, and Model-Based Metrics of Epidemiological Risks of Neglected Tropical Diseases<br>Anuj Mubayi<br>8. Theory and Modeling for Time Required to Vaccinate a Population in an Epidemic<br>Taejin Lee, Kurien Thomas and Arni S.R. Srinivasa Rao <p>Section VIII : Public Health and Epidemic Data Modeling<br>9. Frailty Models in Public Health<br>David D. Hanagal<br>10. Structural Nested Mean Models and History-Adjusted Marginal Structural Models for Time-Varying Effect Modification: An Application to Dental Data<br>Murthy N. Mittinty<br>11. Conditional Growth Models: An Exposition and Some Extensions<br>Clive Osmond and Caroline H.D. Fall<br>12. Parametric Model to Predict H1N1 Influenza in Vellore District, Tamil Nadu, India<br>Daphne Lopez and Gunasekaran Manogaran<br>13. Public Health Eye Care: Modeling Techniques to Translate Evidence Into Effective Action<br>Gudlavalleti V.S. Murthy and Neena S. John<br>14. Individual-Based Models for Public Health<br>Benjamin Roche and Raphaël Duboz</p>