Stochastic Modeling Of Aids Epidemiology And Hiv Pathogenesis PDF Download
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| Author | : W. Y. Tan |
| Publisher | : World Scientific |
| Total Pages | : 458 |
| Release | : 2000 |
| Genre | : Mathematics |
| ISBN | : 9789810241223 |
Download Stochastic Modeling of AIDS Epidemiology and HIV Pathogenesis Book in PDF, ePub and Kindle
This book discusses systematically treatment on the development of stochastic, statistical and state space models of the HIV epidemic and of HIV pathogenesis in HIV-infected individuals, and presents the applications of these models. The book is unique in several ways: (1) it uses stochastic difference and differential equations to present the stochastic models of the HIV epidemic and HIV pathogenesis; in this sense, the deterministic models are considered as special cases when the numbers of different type of people or cells are very large (2) it provides, a critical analysis of deterministic and statistical models in the literature; (3) it develops state space models by combining stochastic models and statistical models; and (4) it provides a detailed discussion on the pros and cons of the different modeling approaches. This book is the first to introduce state space models for the HIV epidemic. It is also the first to develop stochastic models and state space models for the HIV pathogenesis in HIV-infected individuals.
| Author | : W. Y. Tan |
| Publisher | : |
| Total Pages | : |
| Release | : 2000 |
| Genre | : |
| ISBN | : 9789812813268 |
Download Stochastic Modeling of AIDS Epidemiology and HIV Pathogenesis Book in PDF, ePub and Kindle
| Author | : W. Y. Tan |
| Publisher | : World Scientific |
| Total Pages | : 610 |
| Release | : 2005 |
| Genre | : Mathematics |
| ISBN | : 9812561390 |
Download Deterministic and Stochastic Models of AIDS Epidemics and HIV Infections with Intervention Book in PDF, ePub and Kindle
- Only book on extensive, deterministic models, statistic models, stochastic models and state space models and statistical methods for HIV epidemic involving IV drug usage and HIV epidemic in homosexual populations. - Provides most recent biological insights into HIV pathogenesis and HIV kinetics at the cellular level, and illustrates how to build up mathematical models based on these biological insights. - Only publication that provides in-depth analysis of HAART treatment protocols and discusses possible improvements to the HAART protocol. The book also provides connection between pharmacokinetics with treatment in HIV-infected individuals.
| Author | : Charles J Mode |
| Publisher | : World Scientific |
| Total Pages | : 768 |
| Release | : 2000-06-09 |
| Genre | : Medical |
| ISBN | : 9814494186 |
Download Stochastic Processes in Epidemiology Book in PDF, ePub and Kindle
AIDS (autoimmune deficiency syndrome) is a devastating human disease caused by HIV, a human immunodeficiency virus, which may be transmitted by either sexual or other contacts in which body fluids are exchanged. Cases of AIDS have been reported in a majority of countries throughout the world, indicating that the HIV/AIDS epidemic is international in scope. This book deals with the mathematical and statistical techniques underlying the models used to understand the population dynamics of not only HIV/AIDS but also other infectious diseases. Attention is given to the development strategies for the prevention and control of the international epidemic within the frameworks of the models. Two distinguishing features of the book are the incorporation of stochastic and deterministic formulations within a unifying conceptual framework and the discussion of issues related to the mathematical designs of models, which are necessary for the rigorous utilization of computer-intensive methods. The book will be of value to applied mathematicians, biomathematicians, biostatisticians, epidemiologists and other scientists interested in applying mathematics and computers to not only the HIV/AIDS epidemic but also other fields of epidemiology. Contents:Biology and Epidemiology of HIV/AIDSModels of Incubation and Infectious PeriodsContinuous Time Markov and Semi-Markov Jump ProcessesSemi-Markov Jump Processes in Discrete TimeModels of HIV Latency Based on a Log-Gaussian ProcessThe Threshold Parameter of One-Type Branching ProcessesA Structural Approach to SIS and SIR ModelsThreshold Parameters for Multi-Type Branching ProcessesComputer Intensive Methods for the Multi-Type CaseNonlinear Stochastic Models in Homosexual PopulationsStochastic Partnership Models in Homosexual PopulationsHeterosexual Population with PartnershipsAge-Dependent Stochastic Models with PartnershipsEpilogue — Future Research Directions Readership: Mathematical & quantitative biologists, epidemiologists, mathematicians, operations research workers, statisticians and biostatisticians. Keywords:Models: Incubation and Infectious Periods;Thresholds;General Branching Process;One Sex Homosexual;Partnerships Two and One Sex;Monte Carlo;Computer Intensive AlgorithmsReviews: “Quantitative epidemiologists and graduate students and researchers in applied mathematics and statistics interested in stochastic epidemic models should find this to be a helpful reference.” Journal of the American Statistical Association “I believe everyone working or wishing to work on epidemic modelling will certainly benefit from this book.” Mathematics Abstracts
| Author | : Wai-Yuan Tan |
| Publisher | : World Scientific |
| Total Pages | : 460 |
| Release | : 2002-02-26 |
| Genre | : Mathematics |
| ISBN | : 981448931X |
Download Stochastic Models with Applications to Genetics, Cancers, AIDS and Other Biomedical Systems Book in PDF, ePub and Kindle
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 many state space models for many genetic problems, carcinogenesis and other biomedical problems. Contents:Discrete Time Markov Chain Models in Genetics and Biomedical SystemsStationary Distributions and MCMC in Discrete Time Markov ChainsContinuous-Time Markov Chain Models in Genetics, Cancers and AIDSAbsorption Probabilities and Stationary Distributions in Continuous-Time Markov Chain ModelsDiffusion Models in Genetics, Cancer and AIDSAsymptotic Distributions, Stationary Distributions and Absorption Probabilities in Diffusion ModelsState Space Models and Some Examples from Cancer and AIDSSome General Theories of State Space Models and Applications Readership: Graduate students and researchers in probability & statistics and the life sciences. Keywords:Stochastic;Genetics;Cancers;AIDS;Biomedical SystemsReviews:“Its strengths include the large number of models described, many of which have previously been published only in research journals; its clear presentation of many detailed analyses; and good accounts of the biology behind the models.”Mathematical Reviews
| Author | : W. Y. Tan |
| Publisher | : World Scientific |
| Total Pages | : 464 |
| Release | : 2002 |
| Genre | : Science |
| ISBN | : 9789810248697 |
Download Stochastic Models with Applications to Genetics, Cancers, AIDS and Other Biomedical Systems Book in PDF, ePub and Kindle
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 many state space models for many genetic problems, carcinogenesis and other biomedical problems.
| Author | : W. Y. Tan |
| Publisher | : World Scientific |
| Total Pages | : 523 |
| Release | : 2015-10-28 |
| Genre | : Medical |
| ISBN | : 981439095X |
Download Stochastic Models with Applications to Genetics, Cancers, AIDS and Other Biomedical Systems (second Edition) Book in PDF, ePub and Kindle
"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."--
| Author | : |
| Publisher | : John Wiley & Sons |
| Total Pages | : 722 |
| Release | : 2005-12-16 |
| Genre | : Mathematics |
| ISBN | : 0471743917 |
Download Encyclopedia of Statistical Sciences, Volume 1 Book in PDF, ePub and Kindle
ENCYCLOPEDIA OF STATISTICAL SCIENCES
| Author | : |
| Publisher | : |
| Total Pages | : |
| Release | : |
| Genre | : |
| ISBN | : 9814476234 |
Download Quantitative Medical Data Analysis Using Mathematical Tools and Statistical Techniques Book in PDF, ePub and Kindle
| Author | : Ping Yan |
| Publisher | : Springer |
| Total Pages | : 354 |
| Release | : 2019-08-16 |
| Genre | : Mathematics |
| ISBN | : 3030219232 |
Download Quantitative Methods for Investigating Infectious Disease Outbreaks Book in PDF, ePub and Kindle
This book provides a systematic treatment of the mathematical underpinnings of work in the theory of outbreak dynamics and their control, covering balanced perspectives between theory and practice including new material on contemporary topics in the field of infectious disease modelling. Specifically, it presents a unified mathematical framework linked to the distribution theory of non-negative random variables; the many examples used in the text, are introduced and discussed in light of theoretical perspectives. The book is organized into 9 chapters: The first motivates the presentation of the material on subsequent chapters; Chapter 2-3 provides a review of basic concepts of probability and statistical models for the distributions of continuous lifetime data and the distributions of random counts and counting processes, which are linked to phenomenological models. Chapters 4 focuses on dynamic behaviors of a disease outbreak during the initial phase while Chapters 5-6 broadly cover compartment models to investigate the consequences of epidemics as the outbreak moves beyond the initial phase. Chapter 7 provides a transition between mostly theoretical topics in earlier chapters and Chapters 8 and 9 where the focus is on the data generating processes and statistical issues of fitting models to data as well as specific mathematical epidemic modeling applications, respectively. This book is aimed at a wide audience ranging from graduate students to established scientists from quantitatively-oriented fields of epidemiology, mathematics and statistics. The numerous examples and illustrations make understanding of the mathematics of disease transmission and control accessible. Furthermore, the examples and exercises, make the book suitable for motivated students in applied mathematics, either through a lecture course, or through self-study. This text could be used in graduate schools or special summer schools covering research problems in mathematical biology.
