TY - BOOK ID - 80837029 TI - Stochastic models with applications to genetics, cancers, AIDS, and other biomedical systems PY - 2016 SN - 9789814390958 981439095X 9789814390941 9814390941 PB - New Jersey : World Scientific, DB - UniCat KW - Medicine KW - Stochastic processes. KW - Genetics KW - AIDS (Disease) KW - Cancer KW - Acquired immune deficiency syndrome KW - Acquired immunodeficiency syndrome KW - Acquired immunological deficiency syndrome KW - HIV infections KW - Immunological deficiency syndromes KW - Virus-induced immunosuppression KW - Biomathematics KW - Random processes KW - Probabilities KW - Health Workforce KW - Cancers KW - Carcinoma KW - Malignancy (Cancer) KW - Malignant tumors KW - Tumors KW - Mathematical models. UR - https://www.unicat.be/uniCat?func=search&query=sysid:80837029 AB - "This book presents a systematic treatment of Markov chains, diffusion processes and state space models, as well as alternative approaches to Markov chains through stochastic difference equations and stochastic differential equations. It illustrates how these processes and approaches are applied to many problems in genetics, carcinogenesis, AIDS epidemiology and other biomedical systems. One feature of the book is that it describes the basic MCMC (Markov chain and Monte Carlo) procedures and illustrates how to use the Gibbs sampling method and the multilevel Gibbs sampling method to solve many problems in genetics, carcinogenesis, AIDS and other biomedical systems. As another feature, the book develops many state space models for many genetic problems, carcinogenesis, AIDS epidemiology and HIV pathogenesis. It shows in detail how to use the multilevel Gibbs sampling method to estimate (or predict) simultaneously the state variables and the unknown parameters in cancer chemotherapy, carcinogenesis, AIDS epidemiology and HIV pathogenesis. As a matter of fact, this book is the first to develop several state space models for many genetic problems, carcinogenesis and other biomedical problems. To emphasize special applications to medical problems, in this new edition the book has added a new chapter to illustrate how to develop biologically-supported stochastic models and state space models of carcinogenesis in human beings. Specific examples include hidden Markov models and state space models for human colon cancer, human liver cancer and some human pediatric cancers such as retinoblastoma and hepatoblastoma. The book also gives examples to illustrate how to develop procedures to assess cancer risk of environmental agents through initiation-promotion protocols."-- ER -