Introduction To Stochastic Processes In Biostatistics Stochastic Processes In Biostatistics
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Introduction To Stochastic Processes In Biostatistics
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Author : Chin Long Chiang
language : en
Publisher: John Wiley & Sons
Release Date : 1968-01-15
Introduction To Stochastic Processes In Biostatistics written by Chin Long Chiang and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968-01-15 with Mathematics categories.
Introduction To Stochastic Processes In Biostatistics Stochastic Processes In Biostatistics
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Author : Chin Long Chiang
language : en
Publisher:
Release Date : 1968
Introduction To Stochastic Processes In Biostatistics Stochastic Processes In Biostatistics written by Chin Long Chiang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968 with Biomathematics categories.
An Introduction To Stochastic Processes And Their Applications
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Author : Chin Long Chiang
language : en
Publisher: Krieger Publishing Company
Release Date : 1980
An Introduction To Stochastic Processes And Their Applications written by Chin Long Chiang and has been published by Krieger Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980 with Mathematics categories.
Random variables. Probability generating functions. Exponential-type distributions and maximum likelihood estimation. Branching process, random walk and ruin problem. Markov chains. Algebraic treatment of finite Markov chains. Renewal processes. Some stochastic models of population growth. A general birth process, an equality and an epidemic model. Birth-death processes and queueing processes. A simple illness-death process - fix-neyman processes. Multiple transition probabilities in the simple illness death process. Multiple transition time in the simple illness death process - an alternating renewal process. The kolmogorov differential equations and finite markov processes. Kolmogorov differential equations and finite markov processes - continuation. A general illness-death process. Migration processes and birth-illness-death processes.
Current Catalog
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Author : National Library of Medicine (U.S.)
language : en
Publisher:
Release Date :
Current Catalog written by National Library of Medicine (U.S.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with Medicine categories.
First multi-year cumulation covers six years: 1965-70.
National Library Of Medicine Current Catalog
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Author : National Library of Medicine (U.S.)
language : en
Publisher:
Release Date : 1971
National Library Of Medicine Current Catalog written by National Library of Medicine (U.S.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971 with Medicine categories.
Introduction To Stochastic Process In Biostatistics
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Author : Chin Long Chiang
language : en
Publisher:
Release Date : 1968
Introduction To Stochastic Process In Biostatistics written by Chin Long Chiang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968 with categories.
Mathematical Problems In Biology
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Author : P. van den Driessche
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-08
Mathematical Problems In Biology written by P. van den Driessche and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-08 with Medical categories.
A conference on "Some Mathematical Problems in Biology" was held at the University of Victoria, Victoria, B. C. , Canada, from May 7 - 10, 1973. The participants and invited speakers were mathematicians interested in problems of a biological nature, and scientists actively engaged in developing mathematical models in biological fields. One aim of the conference was to attempt to assess what the recent rapid growth of mathematical interaction with the biosciences has accomplished and may accomplish in the near future. The conference also aimed to expose the problems of communication bet~",een mathematicians and biological scientists, and in doing so to stimulate the interchange of ideas. It was recognised that the topic spans an enormous breadth, and little attempt was made to balance the very diverse areas. Widespread active interest was shown in the conference, and just over one hundred people registered. The varied departments and institutions across North America from which the participants came made it both academically and geographically mixed. The chief activity of the conference was the presentation of papers. Nine invited guest speakers (see table of contents) each gave a one hour talk. These covered a wide range of topics. There were twenty-five shorter (twenty minute) contributed papers, and almost all papers l,rere followed by a five minute question and discussion period. Duplicated abstracts of presented papers were available at the meeting. An evening informal discussion meeting of participants, chaired by Dr. A. B. Tayler, and led by Drs. E. M. Hagmeier, E. C.
Multistate Analysis Of Life Histories With R
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Author : Frans Willekens
language : en
Publisher: Springer
Release Date : 2014-09-11
Multistate Analysis Of Life Histories With R written by Frans Willekens and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-11 with Mathematics categories.
This book provides an introduction to multistate event history analysis. It is an extension of survival analysis, in which a single terminal event (endpoint) is considered and the time-to-event is studied. Multistate models focus on life histories or trajectories, conceptualized as sequences of states and sequences of transitions between states. Life histories are modeled as realizations of continuous-time Markov processes. The model parameters, transition rates, are estimated from data on event counts and populations at risk, using the statistical theory of counting processes. The Comprehensive R Network Archive (CRAN) includes several packages for multistate modeling. This book is about Biograph. The package is designed to (a) enhance exploratory analysis of life histories and (b) make multistate modeling accessible. The package incorporates utilities that connect to several packages for multistate modeling, including survival, eha, Epi, mvna,, mstate, msm, and TraMineR for sequence analysis. The book is a ‘hands-on’ presentation of Biograph and the packages listed. It is written from the perspective of the user. To help the user master the techniques and the software, a single data set is used to illustrate the methods and software. It is the subsample of the German Life History Survey, which was also used by Blossfeld and Rohwer in their popular textbook on event history modeling. Another data set, the Netherlands Family and Fertility Survey, is used to illustrate how Biograph can assist in answering questions on life paths of cohorts and individuals. The book is suitable as a textbook for graduate courses on event history analysis and introductory courses on competing risks and multistate models. It may also be used as a self-study book. The R code used in the book is available online. Frans Willekens is affiliated with the Max Planck Institute for Demographic Research (MPIDR) in Rostock, Germany. He is Emeritus Professor of Demography at the University of Groningen, a Honorary Fellow of the Netherlands Interdisciplinary Demographic Institute (NIDI) in the Hague, and a Research Associate of the International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria. He is a member of Royal Netherlands Academy of Arts and Sciences (KNAW). He has contributed to the modeling and simulation of life histories, mainly in the context of population forecasting.
Risk Assessment And Evaluation Of Predictions
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Author : Mei-Ling Ting Lee
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-11
Risk Assessment And Evaluation Of Predictions written by Mei-Ling Ting Lee and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-11 with Medical categories.
Methods of risk analysis and the outcome of particular evaluations and predictions are covered in detail in this proceedings volume, whose contributions are based on invited presentations from Professor Mei-Ling Ting Lee's 2011 symposium on Risk Analysis and the Evaluation of Predictions. This symposium was held at the University of Maryland in October of 2011. Risk analysis is the science of evaluating health, environmental, and engineering risks resulting from past, current, or anticipated, future activities. The use of these evaluations include to provide information for determining regulatory actions to limit risk, present scientific evidence in legal settings, evaluate products and potential liabilities within private organizations, resolve World Trade disputes amongst nations, and educate the public concerning particular risk issues. Risk analysis is an interdisciplinary science that relies on epidemiology and laboratory studies, collection of exposure and other field data, computer modeling, and related social, economic and communication considerations. In addition, social dimensions of risk are addressed by social scientists.
Artificial Intelligence In Cancer
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Author : Smaranda Belciug
language : en
Publisher: Academic Press
Release Date : 2020-06-18
Artificial Intelligence In Cancer written by Smaranda Belciug and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-18 with Science categories.
Artificial Intelligence in Cancer: Diagnostic to Tailored Treatment provides theoretical concepts and practical techniques of AI and its applications in cancer management, building a roadmap on how to use AI in cancer at different stages of healthcare. It discusses topics such as the impactful role of AI during diagnosis and how it can support clinicians to make better decisions, AI tools to help pathologists identify exact types of cancer, how AI supports tumor profiling and can assist surgeons, and the gains in precision for oncologists using AI tools. Additionally, it provides information on AI used for survival and remission/recurrence analysis. The book is a valuable source for bioinformaticians, cancer researchers, oncologists, clinicians and members of the biomedical field who want to understand the promising field of AI applications in cancer management. - Discusses over 20 real cancer examples, bringing state-of-the-art cancer cases in which AI was used to help the medical personnel - Presents over 100 diagrams, making it easier to comprehend AI's results on a specific problem through visual resources - Explains AI algorithms in a friendly manner, thus helping the reader implement or use them in a specific cancer case