{"product_id":"disease-modelling-and-public-health-part-b-hardback-9780444639752","title":"Disease Modelling and Public Health, Part B (Hardback) 9780444639752","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eDisease Modelling and Public Health, Part B\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cp\u003eTwo-part volume covering an extensive range of techniques in the field of statistics and disease modeling\u003c\/p\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eArni S.R. Srinivasa Rao (Volume editor), Saumyadipta Pyne (Volume editor), C.R. Rao (Volume editor)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780444639752, Elsevier Science\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 31 October 2017\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e390 pages\u003cbr\u003e22.9 x 15.1 x 2.6 cm, 0.75 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003ci\u003eHandbook of Statistics: Disease Modelling and Public Health, Part B, Volume 37\u003c\/i\u003e addresses new challenges in existing and emerging diseases. As a two part volume, this title covers an extensive range of techniques in the field, with this book including chapters on Reaction diffusion equations and their application on bacterial communication, Spike and slab methods in disease modeling, Mathematical modeling of mass screening and parameter estimation, Individual-based and agent-based models for infectious disease transmission and evolution: an overview, and a section on Visual Clustering of Static and Dynamic High Dimensional Data.\u003c\/p\u003e  \u003cp\u003eThis volume covers the lack of availability of complete data relating to disease symptoms and disease epidemiology, one of the biggest challenges facing vaccine developers, public health planners, epidemiologists and health sector researchers. \u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eSection VI : Statistical Methodologies \u003c\/b\u003e1. \u003cb\u003eImputation of Area-Level Covariates by Registry Linking \u003c\/b\u003e\u003ci\u003eJ.S. Rao and Jie Fan \u003c\/i\u003e\u003cb\u003e2. Asymptotic Approaches to Discovering Cancer Genomic Signatures \u003c\/b\u003e\u003ci\u003eMaciej Pietrzak and Grzegorz A. Rempala \u003c\/i\u003e\u003cb\u003e3. Emerging Statistical Methodologies in the Field of Microbiome Studies \u003c\/b\u003e\u003ci\u003eSiddhartha Mandal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e\u003ci\u003eSection VII : Advanced Mathematical Methods \u003c\/i\u003e4. Reaction–Diffusion Equations and Their Application on Bacterial Communication \u003c\/b\u003e\u003ci\u003eChristina Kuttler \u003c\/i\u003e\u003cb\u003e5. Hepatitis C Virus (HCV) Treatment as Prevention: Epidemic and Cost-Effectiveness Modeling \u003c\/b\u003e\u003ci\u003eNatasha K. Martin and Lara K. Marquez \u003c\/i\u003e\u003cb\u003e6. Mathematical Modeling of Mass Screening and Parameter Estimation \u003c\/b\u003e\u003ci\u003eMasayuki Kakehashi and Miwako Tsunematsu \u003c\/i\u003e\u003cb\u003e7. Inferring Patterns, Dynamics, and Model-Based Metrics of Epidemiological Risks of Neglected Tropical Diseases \u003c\/b\u003e\u003ci\u003eAnuj Mubayi \u003c\/i\u003e\u003cb\u003e8. Theory and Modeling for Time Required to Vaccinate a Population in an Epidemic \u003c\/b\u003e\u003ci\u003eTaejin Lee, Kurien Thomas and Arni S.R. Srinivasa Rao\u003c\/i\u003e  \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eSection VIII : Public Health and Epidemic Data Modeling 9. Frailty Models in Public Health \u003c\/b\u003e\u003ci\u003eDavid D. Hanagal \u003c\/i\u003e\u003cb\u003e10. Structural Nested Mean Models and History-Adjusted Marginal Structural Models for Time-Varying Effect Modification: An Application to Dental Data \u003c\/b\u003e\u003ci\u003eMurthy N. Mittinty \u003c\/i\u003e\u003cb\u003e11. Conditional Growth Models: An Exposition and Some Extensions \u003c\/b\u003e\u003ci\u003eClive Osmond and Caroline H.D. Fall \u003c\/i\u003e\u003cb\u003e12. Parametric Model to Predict H1N1 Influenza in Vellore District, Tamil Nadu, India \u003c\/b\u003e\u003ci\u003eDaphne Lopez and Gunasekaran Manogaran \u003c\/i\u003e\u003cb\u003e13. Public Health Eye Care: Modeling Techniques to Translate Evidence Into Effective Action \u003c\/b\u003e\u003ci\u003eGudlavalleti V.S. Murthy and Neena S. John \u003c\/i\u003e\u003cb\u003e14. Individual-Based Models for Public Health \u003c\/b\u003e\u003ci\u003eBenjamin Roche and Raphaël Duboz\u003c\/i\u003e\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Probability \u0026amp; statistics [\u003ca title=\"See our other books on Probability \u0026amp; statistics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Probability%20\u0026amp;%20statistics%20%5BPBT%5D%22\"\u003ePBT\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"North Holland","offers":[{"title":"Default Title","offer_id":46651517501720,"sku":"9780444639752","price":164.29,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780444639752_df944eab-4dc6-4b50-8f5f-18e8fd76b917.jpg?v=1694987341","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/disease-modelling-and-public-health-part-b-hardback-9780444639752","provider":"Freshly Printed Books","version":"1.0","type":"link"}