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Accelerated life models: modeling and statistical analysis
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ISBN: 1584881860 Year: 2002 Publisher: Boca Raton, Fla Chapman & Hall/CRC

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Abstract

Survival analysis is an important and widely used technique, particularly to those working in reliability, survival analysis, life testing, and engineering, as well as to probabilists and statisticians. The authors of Accelerated Life Models: Modeling and Statistical Analysis have developed a large and important class of survival analysis models that generalize most of the existing models. In a unified, systematic presentation, this monograph details those accelerated life models. This treatment is valuable as both a high-level textbook and as a reference.


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Povesti nashikh dnei
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Year: 1986

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The Cox Model and Its Applications
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ISBN: 3662493314 3662493322 Year: 2016 Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer,

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This book will be of interest to readers active in the fields of survival analysis, genetics, ecology, biology, demography, reliability and quality control. Since Sir David Cox’s pioneering work in 1972, the proportional hazards model has become the most important model in survival analysis. The success of the Cox model stimulated further studies in semiparametric and nonparametric theories, counting process models, study designs in epidemiology, and the development of many other regression models that could offer more flexible or more suitable approaches in data analysis. Flexible semiparametric regression models are increasingly being used to relate lifetime distributions to time-dependent explanatory variables. Throughout the book, various recent statistical models are developed in close connection with specific data from experimental studies in clinical trials or from observational studies.


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Probability, Statistics and Modelling in Public Health
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ISBN: 9780387260235 Year: 2006 Publisher: Boston, MA Springer Science+Business Media, Inc

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The Cox Model and Its Applications
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ISBN: 9783662493328 Year: 2016 Publisher: Berlin, Heidelberg Springer

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This book will be of interest to readers active in the fields of survival analysis, genetics, ecology, biology, demography, reliability and quality control. Since Sir David Cox’s pioneering work in 1972, the proportional hazards model has become the most important model in survival analysis. The success of the Cox model stimulated further studies in semiparametric and nonparametric theories, counting process models, study designs in epidemiology, and the development of many other regression models that could offer more flexible or more suitable approaches in data analysis. Flexible semiparametric regression models are increasingly being used to relate lifetime distributions to time-dependent explanatory variables. Throughout the book, various recent statistical models are developed in close connection with specific data from experimental studies in clinical trials or from observational studies.


Book
Probability, Statistics and Modelling in Public Health
Authors: --- --- ---
ISBN: 9780387260235 Year: 2006 Publisher: Boston MA Springer US

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Probability, Statistics and Modelling in Public Health consists of refereed contributions by expert biostatisticians that discuss various probabilistic and statistical models used in public health. Many of them are based on the work of Marvin Zelen of the Harvard School of Public Health. Topics discussed include models based on Markov and semi-Markov processes, multi-state models, models and methods in lifetime data analysis, accelerated failure models, design and analysis of clinical trials, Bayesian methods, pharmaceutical and environmental statistics, degradation models, epidemiological methods, screening programs, early detection of diseases, and measurement and analysis of quality of life. Audience This book is intended for researchers interested in statistical methodology in the biomedical field.


Digital
Statistical Models and Methods for Biomedical and Technical Systems
Authors: --- --- ---
ISBN: 9780817646196 Year: 2008 Publisher: Boston, MA Birkhäuser Boston


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Statistical Models and Methods for Biomedical and Technical Systems
Authors: --- --- --- ---
ISBN: 9780817646196 Year: 2008 Publisher: Boston MA Birkhäuser Boston

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An outgrowth of the "International Conference on Statistical Models for Biomedical and Technical Systems," this book is comprised of contributions from renowned experts, demonstrating the significance of current research on theory, methods, and applications of the field. The contributions, which deal with the mathematical aspects of survival analysis and reliability as well as other topics, are a careful selection of invited and contributed chapters, reflecting recent developments in the following areas: * Applications in epidemiology * Estimation and testing for stochastic processes * Generalizations of the Cox regression model * Probabilistic and statistical models and methods in reliability * Semi-parametric inference in survival analysis * Models and methods in survival analysis, longevity, aging, and degradation * Nonparametric estimation - Goodness-of-fit tests * Accelerated life models * Quality of life * Analysis of censored data * Adaptive and repeated measurements designs * Measures of divergence, model selection, and survival models * New statistical challenges in genomics The book will be useful to a broad interdisciplinary readership of researchers and practitioners in applied probability and statistics, industrial statistics, biomedicine, biostatistics, and engineering. Practitioners and researchers in academia will gain insight and new ideas for exploring this fertile area of research.

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