Multivariate Survival Analysis And Competing Risks
Download Multivariate Survival Analysis And Competing Risks full books in PDF, epub, and Kindle. Read online free Multivariate Survival Analysis And Competing Risks ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author | : Martin J. Crowder |
Publisher | : CRC Press |
Total Pages | : 402 |
Release | : 2012-04-17 |
Genre | : Mathematics |
ISBN | : 1439875227 |
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
Author | : Philip Hougaard |
Publisher | : Springer Science & Business Media |
Total Pages | : 559 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 1461213045 |
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.
Author | : Jan Beyersmann |
Publisher | : Springer Science & Business Media |
Total Pages | : 249 |
Release | : 2011-11-18 |
Genre | : Mathematics |
ISBN | : 1461420350 |
This book covers competing risks and multistate models, sometimes summarized as event history analysis. These models generalize the analysis of time to a single event (survival analysis) to analysing the timing of distinct terminal events (competing risks) and possible intermediate events (multistate models). Both R and multistate methods are promoted with a focus on nonparametric methods.
Author | : Martin J. Crowder |
Publisher | : CRC Press |
Total Pages | : 201 |
Release | : 2001-05-11 |
Genre | : Mathematics |
ISBN | : 1420035908 |
If something can fail, it can often fail in one of several ways and sometimes in more than one way at a time. There is always some cause of failure, and almost always, more than one possible cause. In one sense, then, survival analysis is a lost cause. The methods of Competing Risks have often been neglected in the survival analysis literature.
Author | : David G. Kleinbaum |
Publisher | : Springer |
Total Pages | : 597 |
Release | : 2006-01-02 |
Genre | : Mathematics |
ISBN | : 0387291504 |
An excellent introduction for all those coming to the subject for the first time. New material has been added to the second edition and the original six chapters have been modified. The previous edition sold 9500 copies world wide since its release in 1996. Based on numerous courses given by the author to students and researchers in the health sciences and is written with such readers in mind. Provides a "user-friendly" layout and includes numerous illustrations and exercises. Written in such a way so as to enable readers learn directly without the assistance of a classroom instructor. Throughout, there is an emphasis on presenting each new topic backed by real examples of a survival analysis investigation, followed up with thorough analyses of real data sets.
Author | : Ronald B. Geskus |
Publisher | : CRC Press |
Total Pages | : 278 |
Release | : 2015-07-14 |
Genre | : Mathematics |
ISBN | : 1466570369 |
Data Analysis with Competing Risks and Intermediate States explains when and how to use models and techniques for the analysis of competing risks and intermediate states. It covers the most recent insights on estimation techniques and discusses in detail how to interpret the obtained results.After introducing example studies from the biomedical and
Author | : Jialiang Li |
Publisher | : CRC Press |
Total Pages | : 385 |
Release | : 2013-06-04 |
Genre | : Mathematics |
ISBN | : 143989311X |
Using real data sets throughout, Survival Analysis in Medicine and Genetics introduces the latest methods for analyzing high-dimensional survival data. It provides thorough coverage of recent statistical developments in the medical and genetics fields. The text mainly addresses special concerns of the survival model. After covering the fundamentals, it discusses interval censoring, nonparametric and semiparametric hazard regression, multivariate survival data analysis, the sub-distribution method for competing risks data, the cure rate model, and Bayesian inference methods. The authors then focus on time-dependent diagnostic medicine and high-dimensional genetic data analysis. Many of the methods are illustrated with clinical examples. Emphasizing the applications of survival analysis techniques in genetics, this book presents a statistical framework for burgeoning research in this area and offers a set of established approaches for statistical analysis. It 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.
Author | : Mara Tableman |
Publisher | : CRC Press |
Total Pages | : 277 |
Release | : 2003-07-28 |
Genre | : Mathematics |
ISBN | : 0203501411 |
Survival Analysis Using S: Analysis of Time-to-Event Data is designed as a text for a one-semester or one-quarter course in survival analysis for upper-level or graduate students in statistics, biostatistics, and epidemiology. Prerequisites are a standard pre-calculus first course in probability and statistics, and a course in applied linear regression models. No prior knowledge of S or R is assumed. A wide choice of exercises is included, some intended for more advanced students with a first course in mathematical statistics. The authors emphasize parametric log-linear models, while also detailing nonparametric procedures along with model building and data diagnostics. Medical and public health researchers will find the discussion of cut point analysis with bootstrap validation, competing risks and the cumulative incidence estimator, and the analysis of left-truncated and right-censored data invaluable. The bootstrap procedure checks robustness of cut point analysis and determines cut point(s). In a chapter written by Stephen Portnoy, censored regression quantiles - a new nonparametric regression methodology (2003) - is developed to identify important forms of population heterogeneity and to detect departures from traditional Cox models. By generalizing the Kaplan-Meier estimator to regression models for conditional quantiles, this methods provides a valuable complement to traditional Cox proportional hazards approaches.
Author | : John P. Klein |
Publisher | : CRC Press |
Total Pages | : 635 |
Release | : 2016-04-19 |
Genre | : Mathematics |
ISBN | : 146655567X |
Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. This area of statistics deals with time-to-event data that is complicated by censoring and the dynamic nature of events occurring in time. With chapters written by leading researchers in the field, the handbook focuses on advances in survival analysis techniques, covering classical and Bayesian approaches. It gives a complete overview of the current status of survival analysis and should inspire further research in the field. Accessible to a wide range of readers, the book provides: An introduction to various areas in survival analysis for graduate students and novices A reference to modern investigations into survival analysis for more established researchers A text or supplement for a second or advanced course in survival analysis A useful guide to statistical methods for analyzing survival data experiments for practicing statisticians
Author | : John Crowley |
Publisher | : IMS |
Total Pages | : 316 |
Release | : 1982 |
Genre | : Mathematics |
ISBN | : 9780940600027 |