Analysis of Multivariate Survival Data - 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 Analysis of Multivariate Survival Data write by Philip Hougaard. This book was released on 2012-12-06. Analysis of Multivariate Survival Data available in PDF, EPUB and Kindle. Survival data or more general time-to-event data occur in many areas, including medicine, biology, engineering, economics, and demography, but previously standard methods have requested that all time variables are univariate and independent. This book extends the field by allowing for multivariate times. As the field is rather new, the concepts and the possible types of data are described in detail. Four different approaches to the analysis of such data are presented from an applied point of view.
Multivariate Survival Analysis and Competing Risks
Multivariate Survival Analysis and Competing Risks - 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 Multivariate Survival Analysis and Competing Risks write by Martin J. Crowder. This book was released on 2012-04-17. Multivariate Survival Analysis and Competing Risks available in PDF, EPUB and Kindle. Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It covers competing risks and counting processes and provides many real-world examples, exercises, and R code. The text discusses survival data, survival distributions, frailty models, parametric methods, multivariate
Survival and Event History Analysis
Survival and Event History 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 Survival and Event History Analysis write by Odd Aalen. This book was released on 2008-09-16. Survival and Event History Analysis available in PDF, EPUB and Kindle. The aim of this book is to bridge the gap between standard textbook models and a range of models where the dynamic structure of the data manifests itself fully. The common denominator of such models is stochastic processes. The authors show how counting processes, martingales, and stochastic integrals fit very nicely with censored data. Beginning with standard analyses such as Kaplan-Meier plots and Cox regression, the presentation progresses to the additive hazard model and recurrent event data. Stochastic processes are also used as natural models for individual frailty; they allow sensible interpretations of a number of surprising artifacts seen in population data. The stochastic process framework is naturally connected to causality. The authors show how dynamic path analyses can incorporate many modern causality ideas in a framework that takes the time aspect seriously. To make the material accessible to the reader, a large number of practical examples, mainly from medicine, are developed in detail. Stochastic processes are introduced in an intuitive and non-technical manner. The book is aimed at investigators who use event history methods and want a better understanding of the statistical concepts. It is suitable as a textbook for graduate courses in statistics and biostatistics.
Survival Analysis in Medicine and Genetics
Survival Analysis in Medicine and Genetics - 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 in Medicine and Genetics write by Jialiang Li. This book was released on 2013-06-04. Survival Analysis in Medicine and Genetics available in PDF, EPUB and Kindle. Using real data sets throughout, this text introduces the latest methods for analyzing high-dimensional survival data. With an emphasis on the applications of survival analysis techniques in genetics, it presents a statistical framework for burgeoning research in this area and offers a set of established approaches for statistical analysis. The book reveals a new way of looking at how predictors are associated with censored survival time and extracts novel statistical genetic methods for censored survival time outcome from the vast amount of research results in genomics.
Analysing Survival Data from Clinical Trials and Observational Studies
Analysing Survival Data from Clinical Trials and Observational Studies - 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 Analysing Survival Data from Clinical Trials and Observational Studies write by Ettore Marubini. This book was released on 2004-07-02. Analysing Survival Data from Clinical Trials and Observational Studies available in PDF, EPUB and Kindle. A practical guide to methods of survival analysis for medical researchers with limited statistical experience. Methods and techniques described range from descriptive and exploratory analysis to multivariate regression methods. Uses illustrative data from actual clinical trials and observational studies to describe methods of analysing and reporting results. Also reviews the features and performance of statistical software available for applying the methods of analysis discussed.
