標題: Titlebook: Analysis of Survival Data with Dependent Censoring; Copula-Based Approac Takeshi Emura,Yi-Hau Chen Book 2018 The Author(s) 2018 Competing R [打印本頁] 作者: malcontented 時間: 2025-3-21 17:20
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作者: DUCE 時間: 2025-3-21 21:01 作者: 利用 時間: 2025-3-22 01:38
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 作者: 輕率看法 時間: 2025-3-22 06:33
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.作者: 沙草紙 時間: 2025-3-22 08:50 作者: Ataxia 時間: 2025-3-22 15:52
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.作者: dainty 時間: 2025-3-22 20:59 作者: 忙碌 時間: 2025-3-22 23:45 作者: 影響 時間: 2025-3-23 03:35
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.作者: 集聚成團 時間: 2025-3-23 07:10 作者: PHONE 時間: 2025-3-23 13:16 作者: Ventilator 時間: 2025-3-23 15:09
SpringerBriefs in Statisticshttp://image.papertrans.cn/a/image/156451.jpg作者: Androgen 時間: 2025-3-23 20:10
Analysis of Survival Data with Dependent Censoring978-981-10-7164-5Series ISSN 2191-544X Series E-ISSN 2191-5458 作者: Celiac-Plexus 時間: 2025-3-24 02:10
https://doi.org/10.1007/978-3-322-89517-2tric 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.作者: 神經(jīng) 時間: 2025-3-24 03:21
https://doi.org/10.1007/978-3-322-89517-2er reviewing the concept of copulas, we introduce measures of dependence, including Kendall’s tau and the cross-ratio function. We also introduce the idea of . that explains how dependence between event times arises and how it can be modeled by copulas. Finally, we apply copulas for modeling the eff作者: 音樂學者 時間: 2025-3-24 06:30
https://doi.org/10.1007/978-3-322-89517-2tric 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.作者: diathermy 時間: 2025-3-24 11:22 作者: 鍵琴 時間: 2025-3-24 17:20 作者: follicle 時間: 2025-3-24 20:25
Analysis of Survival Data with Dependent CensoringCopula-Based Approac作者: Delectable 時間: 2025-3-25 01:05 作者: nurture 時間: 2025-3-25 04:27 作者: 入會 時間: 2025-3-25 07:46 作者: 蝕刻術(shù) 時間: 2025-3-25 15:02
Copula Models for Dependent Censoring,idea of . that explains how dependence between event times arises and how it can be modeled by copulas. Finally, we apply copulas for modeling the effect of dependent censoring and analyze the bias of the Cox regression analysis owing to dependent censoring.作者: 增長 時間: 2025-3-25 16:40 作者: intelligible 時間: 2025-3-25 22:58 作者: 松緊帶 時間: 2025-3-26 02:23 作者: Musket 時間: 2025-3-26 07:14 作者: burnish 時間: 2025-3-26 09:34
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