{"product_id":"disease-modelling-and-public-health-part-a-hardback-9780444639684","title":"Disease Modelling and Public Health, Part A (Hardback) 9780444639684","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eDisease Modelling and Public Health, Part A\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cp\u003eAddresses new challenges in existing and emerging diseases and how they are modeled\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\"\u003e9780444639684, Elsevier Science\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 13 October 2017\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e500 pages\u003cbr\u003e22.9 x 15.1 x 3 cm, 0.94 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\"Simply put, the study converts qualitative data to quantitative data. Chapter 10 in the study is unique for a health scientist – it looks at these risk behaviors and draws important conclusions regarding the contraction of various chronic and infectious diseases. This data could influence the way in which college students are educated on health risk behaviors in the future.\" \u003cb\u003e--The State Press \u003c\/b\u003e\u003c\/p\u003e\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003ci\u003eDisease Modelling and Public Health, Part A, Volume 36\u003c\/i\u003e 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.\u003c\/p\u003e  \u003cp\u003eAs 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. \u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e1. Fundamentals of Mathematical Models of Infectious Diseases and Their Application to Data Analyses \u003ci\u003eMasayuki Kakehashi and Shoko Kawano \u003c\/i\u003e2. Dynamic Risk Prediction for Cardiovascular Disease: An Illustration Using the ARIC Study \u003ci\u003eJessica K. Barrett, Michael J. Sweeting and Angela M. Wood \u003c\/i\u003e3. Statistical Models for Selected Infectious Diseases \u003ci\u003ePoduri S.R.S. Rao \u003c\/i\u003e4. Finite Mixture Models in Biostatistics \u003ci\u003eSharon X. Lee, Shu-Kay Ng and Geoffrey J. McLachlan \u003c\/i\u003e5. Alternative Sampling Designs for Time-to-Event Data With Applications to Biomarker Discovery in Alzheimer’s Disease \u003ci\u003eMichelle Nuño and Daniel L. Gillen \u003c\/i\u003e6. Real-Time Estimation of the Case Fatality Ratio and Risk Factors of Death \u003ci\u003eHiroshi Nishiura \u003c\/i\u003e7. \u003ci\u003eNonparametric Regression of State Occupation Probabilities in a Multistate Model Sutirtha Chakraborty, Somnath Datta and Susmita Datta \u003c\/i\u003e8. Gene Set Analysis: As Applied to Public Health and Biomedical Studies \u003ci\u003eShabnam Vatanpour and Irina Dinu \u003c\/i\u003e9. Causal Inference in the Study of Infectious Disease \u003ci\u003eBradley C. Saul, Michael G. Hudgens and M. Elizabeth Halloran \u003c\/i\u003e10. Computational Modeling Approaches in Global Health: Sensitivity of Social Determinants on the Patterns of Health Behaviors and Diseases \u003ci\u003eAnuj Mubayi \u003c\/i\u003e11. Data-Driven Computational Disease Spread Modeling: From Measurement to Parametrization and Control \u003ci\u003eStefan Engblom and Stefan Widgren \u003c\/i\u003e12. Individual and Collective Behavior in Public Health Epidemiology \u003ci\u003eJiangzhuo Chen, Bryan Lewis, Achla Marathe, Madhav Marathe, Samarth Swarup and Anil K.S. Vullikanti \u003c\/i\u003e13. Theoretical Advances in Type 2 Diabetes \u003ci\u003ePranay Goel \u003c\/i\u003e14. Helminth Dynamics: Mean Number of Worms, Reproductive Rates \u003ci\u003eArni S.R. Srinivasa Rao and Roy M. Anderson \u003c\/i\u003e15. Bayesian Methods in Public Health \u003ci\u003eWesley O. Johnson, Elizabeth B. Ward and Daniel L. Gillen \u003c\/i\u003e16. Bayesian Disease Mapping for Public Health \u003ci\u003eAndrew Lawson and Duncan Lee\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":46651517305112,"sku":"9780444639684","price":171.79,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780444639684_90399e22-1e13-4bdb-98c9-e42e5a12d025.jpg?v=1694987354","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/disease-modelling-and-public-health-part-a-hardback-9780444639684","provider":"Freshly Printed Books","version":"1.0","type":"link"}