Bayesian Survival Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bayesian Survival Analysis write by Joseph G. Ibrahim. This book was released on 2013-03-09. Bayesian Survival Analysis available in PDF, EPUB and Kindle. Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis. It presents a balance between theory and applications, and for each class of models discussed, detailed examples and analyses from case studies are presented whenever possible. The applications are all from the health sciences, including cancer, AIDS, and the environment.
Bayesian Survival Analysis
Bayesian Survival Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bayesian Survival Analysis write by Joseph G. Ibrahim. This book was released on 2001-06-26. Bayesian Survival Analysis available in PDF, EPUB and Kindle. Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis. Several topics are addressed, including parametric models, semiparametric models based on prior processes, proportional and non-proportional hazards models, frailty models, cure rate models, model selection and comparison, joint models for longitudinal and survival data, models with time varying covariates, missing covariate data, design and monitoring of clinical trials, accelerated failure time models, models for multivariate survival data, and special types of hierarchical survival models. Also various censoring schemes are examined including right and interval censored data. Several additional topics are discussed, including noninformative and informative prior specificiations, computing posterior qualities of interest, Bayesian hypothesis testing, variable selection, model selection with nonnested models, model checking techniques using Bayesian diagnostic methods, and Markov chain Monte Carlo (MCMC) algorithms for sampling from the posteiror and predictive distributions. The book presents a balance between theory and applications, and for each class of models discussed, detailed examples and analyses from case studies are presented whenever possible. The applications are all essentially from the health sciences, including cancer, AIDS, and the environment. The book is intended as a graduate textbook or a reference book for a one semester course at the advanced masters or Ph.D. level. This book would be most suitable for second or third year graduate students in statistics or biostatistics. It would also serve as a useful reference book for applied or theoretical researchers as well as practitioners. Joseph G. Ibrahim is Associate Professor of Biostatistics at the Harvard School of Public Health and Dana-Farber Cancer Institute; Ming-Hui Chen is Associate Professor of Mathematical Science at Worcester Polytechnic Institute; Debajyoti Sinha is Associate Professor of Biostatistics at the Medical University of South Carolina.
Bayesian Survival Analysis
Bayesian Survival Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bayesian Survival Analysis write by Joseph G. Ibrahim. This book was released on 2014-01-15. Bayesian Survival Analysis available in PDF, EPUB and Kindle.
Bayesian Survival Analysis
Bayesian Survival Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bayesian Survival Analysis write by Keith Rowland Abrams. This book was released on 1992. Bayesian Survival Analysis available in PDF, EPUB and Kindle.
Survival Analysis: State of the Art
Survival Analysis: State of the Art - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Survival Analysis: State of the Art write by John P. Klein. This book was released on 2013-03-09. Survival Analysis: State of the Art available in PDF, EPUB and Kindle. Survival analysis is a highly active area of research with applications spanning the physical, engineering, biological, and social sciences. In addition to statisticians and biostatisticians, researchers in this area include epidemiologists, reliability engineers, demographers and economists. The economists survival analysis by the name of duration analysis and the analysis of transition data. We attempted to bring together leading researchers, with a common interest in developing methodology in survival analysis, at the NATO Advanced Research Workshop. The research works collected in this volume are based on the presentations at the Workshop. Analysis of survival experiments is complicated by issues of censoring, where only partial observation of an individual's life length is available and left truncation, where individuals enter the study group if their life lengths exceed a given threshold time. Application of the theory of counting processes to survival analysis, as developed by the Scandinavian School, has allowed for substantial advances in the procedures for analyzing such experiments. The increased use of computer intensive solutions to inference problems in survival analysis~ in both the classical and Bayesian settings, is also evident throughout the volume. Several areas of research have received special attention in the volume.
