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Stochastic Models For Carcinogenesis
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Book Synopsis Stochastic Models for Carcinogenesis by : Wai-Yuan Tan
Download or read book Stochastic Models for Carcinogenesis written by Wai-Yuan Tan and published by CRC Press. This book was released on 2020-01-31 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: An up-to-date survey of mathematical models of carcinogenesis, providing the most recent findings of cancer biology as evidence of the models, as well as extensive bibliographies of cancer biology and in-depth mathematical analyses for each of the models. May be used as a reference for biostaticians, biometricians, mathematical and molecular biologists, applied mathematicians, oncologists, cancer and toxicology researchers, environmental scientists, and graduate students in these fields.
Book Synopsis A Stochastic Model for Immunological Feedback in Carcinogenesis by : Neil Dubin
Download or read book A Stochastic Model for Immunological Feedback in Carcinogenesis written by Neil Dubin and published by . This book was released on 1976 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Stochastic Model for Immunological Feedback in Carcinogenesis by : Neil Dubin
Download or read book A Stochastic Model for Immunological Feedback in Carcinogenesis written by Neil Dubin and published by Springer Verlag. This book was released on 1976 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Stochastic Model for Carcinogenesis with Special Applications to the Initiation and Promotion Phenomena by : Maria Teresa C. Gastardo
Download or read book A Stochastic Model for Carcinogenesis with Special Applications to the Initiation and Promotion Phenomena written by Maria Teresa C. Gastardo and published by . This book was released on 1984 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Stochastic Models With Applications To Genetics, Cancers, Aids And Other Biomedical Systems (Second Edition) by : Wai-yuan Tan
Download or read book Stochastic Models With Applications To Genetics, Cancers, Aids And Other Biomedical Systems (Second Edition) written by Wai-yuan Tan and published by World Scientific. This book was released on 2015-10-28 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Stochastic Models with Applications to Genetics, Cancers, AIDS and Other Biomedical Systems by : W. Y. Tan
Download or read book Stochastic Models with Applications to Genetics, Cancers, AIDS and Other Biomedical Systems written by W. Y. Tan and published by World Scientific. This book was released on 2002 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Applications of Stochastic Models for the Analysis of the Mechanisms of Carcinogenesis by :
Download or read book Applications of Stochastic Models for the Analysis of the Mechanisms of Carcinogenesis written by and published by . This book was released on 1964 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A stochastic model for immunological feedback in carcinogenesis by : Neil Bubin
Download or read book A stochastic model for immunological feedback in carcinogenesis written by Neil Bubin and published by . This book was released on 1976 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Stochastic and State Space Models of Carcinogenesis Under Complex Situation by : Xiaowei Yan
Download or read book Stochastic and State Space Models of Carcinogenesis Under Complex Situation written by Xiaowei Yan and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: With more and more biological mechanisms of cancer development being discovered, in order to improve cancer control and prevention, it becomes necessary to develop effective and efficient mathematical and statistical models and methods to incorporate the biological information, and to identify critical events in the process of carcinogenesis. In this dissertation, the complex nature of carcinogenesis has been represented by stochastic system model; combining this model with information from observations and prior knowledge, we have developed state space models to evaluate cancer gene mutations and cell proliferation at different cancer development stages. Also, we have proposed a generalized Bayesian method via multi-level Gibbs sampling procedure to predict state (stage) variables of the models. In this dissertation, stochastic models have been proposed for initiation, promotion and complete carcinomas experiments; these experiments are most commonly performed in cancer risk assessment of environmental agents. These stochastic models are simple multi-pathway models which are constructed based on biological mechanisms. The estimates we obtained from the models have provided quantitative evaluation of dose related mutation rates of major genes and cells proliferation rates; these results could be used to assess the risk of developing malignant tumor in the environment we live. More complicated stochastic and state space models have been developed for sporadic human colon cancer and for hereditary and non-hereditary human liver cancer. We have utilized the proposed models to fit to Surveillance Epidemiology and End Results (SEER) data. The results imply that our models have effectively incorporated biological information and observations; these models fitted the data very well and the inferences based on estimate were very consistent with biological findings. Furthermore, the models reflected the complex nature of carcinogenesis. We notice that many cancers are developed through multiple-stage multiple-pathway. Our analyses of colon cancer and liver cancer have showed that some pathways are more devastated than others. This suggests thus it would be more efficient to intervene or treat the critical events in the more devastated pathways. .
Book Synopsis Stochastic Models of Carcinogenesis; Statistics, Textbooks and Monographs by : Tan WY.
Download or read book Stochastic Models of Carcinogenesis; Statistics, Textbooks and Monographs written by Tan WY. and published by . This book was released on 1991 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Stochastic Model for a Two-stage Theory of Carcinogenesis by : Howard G. Tucker
Download or read book A Stochastic Model for a Two-stage Theory of Carcinogenesis written by Howard G. Tucker and published by . This book was released on with total page 17 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Stochastic and State Space Models of Carcinogenesis with Applications by : Lijun Zhang
Download or read book Stochastic and State Space Models of Carcinogenesis with Applications written by Lijun Zhang and published by . This book was released on 2008 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Stochastic Models Of Tumor Latency And Their Biostatistical Applications by : Alexander D Tsodikov
Download or read book Stochastic Models Of Tumor Latency And Their Biostatistical Applications written by Alexander D Tsodikov and published by World Scientific. This book was released on 1996-03-20 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research monograph discusses newly developed mathematical models and methods that provide biologically meaningful inferences from data on cancer latency produced by follow-up and discrete surveillance studies. Methods for designing optimal strategies of cancer surveillance are systematically presented for the first time in this book. It offers new approaches to the stochastic description of tumor latency, employs biologically-based models for making statistical inference from data on tumor recurrence and also discusses methods of statistical analysis of data resulting from discrete surveillance strategies. It also offers insight into the role of prognostic factors based on the interpretation of their effects in terms of parameters endowed with biological meaning, as well as methods for designing optimal schedules of cancer screening and surveillance. Last but not least, it discusses survival models allowing for cure rates and the choice of optimal treatment based on covariate information, and presents numerous examples of real data analysis.
Book Synopsis Handbook of Cancer Models with Applications by : W. Y. Tan
Download or read book Handbook of Cancer Models with Applications written by W. Y. Tan and published by World Scientific. This book was released on 2008 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: Composed of contributions from an international team of leading researchers, this book pulls together the most recent research results in the field of cancer modeling to provide readers with the most advanced mathematical models of cancer and their applications.Topics included in the book cover oncogenetic trees, stochastic multistage models of carcinogenesis, effects of ionizing radiation on cell cycle and genomic instability, induction of DNA damage by ionizing radiation and its repair, epigenetic cancer models, bystander effects of radiation, multiple pathway models of human colon cancer, and stochastic models of metastasis. The book also provides some important applications of cancer models to the assessment of cancer risk associated with various hazardous environmental agents, to cancer screening by MRI, and to drug resistance in cancer chemotherapy. An updated statistical design and analysis of xenograft experiments as well as a statistical analysis of cancer occult clinical data are also provided.The book will serve as a useful source of reference for researchers in biomathematics, biostatistics and bioinformatics; for clinical investigators and medical doctors employing quantitative methods to develop procedures for cancer diagnosis, prevention, control and treatment; and for graduate students.
Book Synopsis Stochastic and State Space Models in Carcinogenesis and Cell Populations by : Wei Wang
Download or read book Stochastic and State Space Models in Carcinogenesis and Cell Populations written by Wei Wang and published by . This book was released on 2000 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Stochastic Models of Human Kidney Cancer by : Yanan Wu
Download or read book Stochastic Models of Human Kidney Cancer written by Yanan Wu and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation is focused on the development of stochastic models for carcinogenesis of human kidney cancer. Based on recent biological studies, we have developed a multiple-pathway stochastic model for the human pediatric kidney cancer - Wilms' tumor. To account for hereditary cancer cases and the development of non-hereditary cancers through two different pathways in the stochastic model, we have also developed a generalized mixture model. In this mixture model, two mixing probability distributions were applied, which are a multinomial distribution to explain the genetic segregation of the stage-limiting tumor suppressor genes and a binomial distribution to account for the development of non-hereditary cancers through two pathways. We have applied this model to fit and analyze the SEER data of Wilms' tumor from NCI/NIH. Our results indicate that the proposed model involving hereditary and non-hereditary cancer cases fitted the data better than the single-pathway model with hereditary cancer cases. We have also derived a biologically supported stochastic model for human adult kidney cancer - renal cell carcinoma (RCC) involving three pathways. These pathways are: 3-stage pathway for pRCC , 4-stage pathway for ccRCC and 5-stage pathway for chRCC. To account for different individuals in the population at risk of developing renal cell carcinoma through different pathways, we have also presented a mixture model of three pathways. We have used this model to fit and analyze the SEER data of renal cell carcinoma from NCI/NIH. Our results indicate that the model not only provides a logical avenue to incorporate biological information but also fits the data well. These models not only would provide more insights into human kidney cancer but also would provide useful guidance for its prevention and control and for prediction of future cancer cases.
Book Synopsis Stochastic Multi-scale Modeling of Carcinogenesis by : Larry Wen-Lei Jean
Download or read book Stochastic Multi-scale Modeling of Carcinogenesis written by Larry Wen-Lei Jean and published by . This book was released on 2009 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt:
