Survival Analysis: State of the Art, John P. Klein; P.K. Goel

Автор: Lee
Название: Statistical Methods for Survival Data Analysis, 4th Edition
ISBN: 1118095022 ISBN-13(EAN): 9781118095027
Издательство: Wiley
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Описание: Upgraded to reflect the latest research and software applications on the topic, this new edition continues to provide a comprehensive introduction to the statistical methods for analyzing survival data.

Автор: Odd Aalen; Ornulf Borgan; Hakon Gjessing
Название: Survival and Event History Analysis
ISBN: 1441919090 ISBN-13(EAN): 9781441919090
Издательство: Springer
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Описание: This text bridges the gap between standard models, and those where the dynamic structure of the data manifests itself fully. The common thread is stochastic processes. The authors show how martingales and stochastic integrals fit with censored data.

Автор: Dai, Hongsheng
Название: Survival Analysis for Bivariate Truncated Data
ISBN: 0128054808 ISBN-13(EAN): 9780128054802
Издательство: Elsevier Science
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Описание: Survival Analysis for Bivariate Truncated Data provides readers with a comprehensive review on the existing works on survival analysis for truncated data, mainly focusing on the estimation of univariate and bivariate survival function. The most distinguishing feature of survival data is known as censoring, which occurs when the survival time can only be exactly observed within certain time intervals. A second feature is truncation, which is often deliberate and usually due to selection bias in the study design. . Truncation presents itself in different ways. For example, left truncation, which is often due to a so-called late entry bias, occurs when individuals enter a study at a certain age and are followed from this delayed entry time. Right truncation arises when only individuals who experienced the event of interest before a certain time point can be observed. Analyzing truncated survival data without considering the potential selection bias may lead to seriously biased estimates of the time to event of interest and the impact of risk factors.

Автор: John P. Klein; P.K. Goel
Название: Survival Analysis: State of the Art
ISBN: 0792316347 ISBN-13(EAN): 9780792316343
Издательство: Springer
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Описание: Topics considered in this collection of papers are the use of frailty models in survival analysis, left-censored and left-truncated data, multivariate survival analysis, competing risks theory, kernel density estimation and semiparametric estimation for right-censored data.