Nonparametric Estimation Of Cumulative Incidence Functions For Competing Risks Data With Missing Cause Of Failure
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Topics in Competing Risks Data
Author | : MinJung Lee |
Publsiher | : Unknown |
Total Pages | : 122 |
Release | : 2008 |
Genre | : Electronic Book |
ISBN | : WISC:89100588433 |
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Competing Risks and Multistate Models with R
Author | : Jan Beyersmann,Arthur Allignol,Martin Schumacher |
Publsiher | : Springer Science & Business Media |
Total Pages | : 245 |
Release | : 2011-11-18 |
Genre | : Mathematics |
ISBN | : 9781461420354 |
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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.
The Statistical Analysis of Failure Time Data
Author | : John D. Kalbfleisch,Ross L. Prentice |
Publsiher | : John Wiley & Sons |
Total Pages | : 462 |
Release | : 2011-01-25 |
Genre | : Mathematics |
ISBN | : 9781118031230 |
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Contains additional discussion and examples on left truncationas well as material on more general censoring and truncationpatterns. Introduces the martingale and counting process formulation swillbe in a new chapter. Develops multivariate failure time data in a separate chapterand extends the material on Markov and semi Markovformulations. Presents new examples and applications of data analysis.
Handbook of Survival Analysis
Author | : John P. Klein,Hans C. van Houwelingen,Joseph G. Ibrahim,Thomas H. Scheike |
Publsiher | : CRC Press |
Total Pages | : 635 |
Release | : 2016-04-19 |
Genre | : Mathematics |
ISBN | : 9781466555679 |
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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
Association Analysis of Multi variate Competing Risks Data
Author | : Yu Cheng |
Publsiher | : Unknown |
Total Pages | : 124 |
Release | : 2006 |
Genre | : Electronic Book |
ISBN | : WISC:89094435393 |
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Mathematical and Statistical Applications in Life Sciences and Engineering
Author | : Avishek Adhikari,Mahima Ranjan Adhikari,Yogendra Prasad Chaubey |
Publsiher | : Springer |
Total Pages | : 372 |
Release | : 2017-12-06 |
Genre | : Mathematics |
ISBN | : 9789811053702 |
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The book includes articles from eminent international scientists discussing a wide spectrum of topics of current importance in mathematics and statistics and their applications. It presents state-of-the-art material along with a clear and detailed review of the relevant topics and issues concerned. The topics discussed include message transmission, colouring problem, control of stochastic structures and information dynamics, image denoising, life testing and reliability, survival and frailty models, analysis of drought periods, prediction of genomic profiles, competing risks, environmental applications and chronic disease control. It is a valuable resource for researchers and practitioners in the relevant areas of mathematics and statistics.
Survival Analysis
Author | : David G. Kleinbaum,Mitchel Klein |
Publsiher | : Springer Science & Business Media |
Total Pages | : 332 |
Release | : 2013-04-18 |
Genre | : Medical |
ISBN | : 9781475725551 |
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A straightforward and easy-to-follow introduction to the main concepts and techniques of the subject. It is based on numerous courses given by the author to students and researchers in the health sciences and is written with such readers in mind. A "user-friendly" layout includes numerous illustrations and exercises and the book is 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. Each chapter concludes with practice exercises to help readers reinforce their understanding of the concepts covered, before going on to a more comprehensive test. Answers to both are included. Readers will enjoy David Kleinbaums style of presentation, making this an excellent introduction for all those coming to the subject for the first time.
Analysing Survival Data from Clinical Trials and Observational Studies
Author | : Ettore Marubini,Maria Grazia Valsecchi |
Publsiher | : John Wiley & Sons |
Total Pages | : 436 |
Release | : 2004-07-02 |
Genre | : Mathematics |
ISBN | : 0470093412 |
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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.