不易感受性區間設限資料之轉換模型分析方法

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Title:	不易感受性區間設限資料之轉換模型分析方法
Other Titles:	Transformation Cure Model with Interval Censoring
Authors:	陳蔓樺;陳麗菁
Contributors:	淡江大學統計學系
Date:	2012-08
Issue Date:	2015-05-12 13:32:14 (UTC+8)
Abstract:	一般所有存活分析中都是假設事件時間是易感受性，也就是假設每事件必然發生。在臨床試驗中，這樣的假設對長期存活資料並不適當。由於醫學研究的發展，區間設限資料在臨床試驗研究上被廣泛收集。在這樣的試驗中，每位研究對象的病人都是週期性的被檢驗或觀察，因此我們可以視事件時間為某段確定的時間，稱之為區間設限時間。在這一個計畫中，我們將針對事件未必發生(不易感受性)及事件發生時間為區間設限資料建立轉換模型來處理，此法提供一彈性模型避免直接選取某迴歸模型的問題。我們將針對HDSD (Ma, 2010)資料做進一步分析說明。 Mixed case interval censored data arise when the event time of interest is only known to lie in an interval. In these cases; each study subject is examined or observed periodically. In this project, we consider a general class of semiparametric transformation with cure subgroup, where subjects in this subgroup are not susceptible to the event of interest. We study complete-data full likelihood of this two-part model. We will conduct simulations and analyze the HDSD study using the proposed approach.
Appears in Collections:	[Graduate Institute & Department of Statistics] Research Paper

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