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Titlebook: Analysis of Survival Data with Dependent Censoring; Copula-Based Approac Takeshi Emura,Yi-Hau Chen Book 2018 The Author(s) 2018 Competing R

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发表于 2025-3-21 17:20:25 | 显示全部楼层 |阅读模式
期刊全称Analysis of Survival Data with Dependent Censoring
期刊简称Copula-Based Approac
影响因子2023Takeshi Emura,Yi-Hau Chen
视频video
发行地址The first book devoted to the problem of dependent censoring.An essential textbook on survival analysis accessible to students, (bio-)statisticians, mathematicians, and medical researchers alike.Writt
学科分类SpringerBriefs in Statistics
图书封面Titlebook: Analysis of Survival Data with Dependent Censoring; Copula-Based Approac Takeshi Emura,Yi-Hau Chen Book 2018 The Author(s) 2018 Competing R
影响因子.This book introduces readers to copula-based statistical methods for analyzing survival data involving dependent censoring. Primarily focusing on likelihood-based methods performed under copula models, it is the first book solely devoted to the problem of dependent censoring...The book demonstrates the advantages of the copula-based methods in the context of medical research, especially with regard to cancer patients’ survival data. Needless to say, the statistical methods presented here can also be applied to many other branches of science, especially in reliability, where survival analysis plays an important role...The book can be used as a textbook for graduate coursework or a short course aimed at (bio-) statisticians. To deepen readers’ understanding of copula-based approaches, the book provides an accessible introduction to basic survival analysis and explains the mathematical foundations of copula-based survival models..
Pindex Book 2018
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Gene Selection and Survival Prediction Under Dependent Censoring,er, this conventional approach relies on the independent censoring assumption, which is often an unrealistic assumption in many biomedical applications. We introduce an alternative approach to selecting genes by utilizing copulas to account for the effect of dependent censoring. We also introduce a
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Analysis of Survival Data Under an Assumed Copula,tric likelihood methods, and semi-parametric likelihood methods developed under a variety of copula models. All these approaches employ an ., a copula function that is completely specified including its parameter value to avoid the non-identifiability.
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Solvent flammability and reactivity hazardsThis chapter provides a concise introduction to survival analysis. We review the essential tools in survival analysis, such as the survival function, Kaplan–Meier estimator, hazard function, log-rank test, Cox regression, and likelihood-based inference.
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Introduction to Survival Analysis,This chapter provides a concise introduction to survival analysis. We review the essential tools in survival analysis, such as the survival function, Kaplan–Meier estimator, hazard function, log-rank test, Cox regression, and likelihood-based inference.
发表于 2025-3-23 07:10:42 | 显示全部楼层
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