Listing 1 - 8 of 8 |
Sort by
|
Choose an application
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.
Mathematical statistics --- Accelerated life testing --- Mathematical models. --- Statistical methods.
Choose an application
Choose an application
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.
Mathematical Statistics --- Mathematics --- Physical Sciences & Mathematics --- Proportional hazards models. --- Cox proportional hazards models --- Hazards models --- Mathematical models --- Survival analysis (Biometry) --- Mathematical statistics. --- Statistics. --- Statistical methods. --- Epidemiology. --- Statistical Theory and Methods. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Biostatistics. --- Diseases --- Public health --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistics . --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics
Choose an application
Biomathematics. Biometry. Biostatistics --- medische statistiek --- biostatistiek --- biometrie
Choose an application
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.
Statistical science --- Biomathematics. Biometry. Biostatistics --- Epidemiology --- medische statistiek --- biostatistiek --- statistiek --- epidemiologie --- biometrie --- statistisch onderzoek
Choose an application
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.
Biomathematics. Biometry. Biostatistics --- medische statistiek --- biostatistiek --- biometrie
Choose an application
Statistical science --- Operational research. Game theory --- Mathematics --- Biomathematics. Biometry. Biostatistics --- Planning (firm) --- medische statistiek --- toegepaste wiskunde --- stochastische analyse --- biostatistiek --- mathematische modellen --- biometrie --- kansrekening --- statistisch onderzoek
Choose an application
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.
Statistical science --- Operational research. Game theory --- Mathematics --- Biomathematics. Biometry. Biostatistics --- Planning (firm) --- medische statistiek --- toegepaste wiskunde --- stochastische analyse --- biostatistiek --- mathematische modellen --- biometrie --- kansrekening --- statistisch onderzoek
Listing 1 - 8 of 8 |
Sort by
|