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dc.contributor.author周欣茹en_US
dc.contributor.authorHsin-Ru Chouen_US
dc.contributor.author王維菁en_US
dc.contributor.authorWeijing Wangen_US
dc.date.accessioned2014-12-12T02:08:35Z-
dc.date.available2014-12-12T02:08:35Z-
dc.date.issued2003en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#GT009126504en_US
dc.identifier.urihttp://hdl.handle.net/11536/55401-
dc.description.abstract傳統存活分析假設感興趣的事件一定會發生,然而當事件由“死亡”推廣到如“發病”、“復發”… 的情形時,這個假設便不盡合理。文獻修正的方向是承認存在所謂的“免疫者”永遠也不會發生此事件,這類方法統稱為“治癒模式”。本論文回顧治癒模式的部份文獻,將其分成三個方向討論。最常見的治癒模式對免疫者無明確的定義;有一類模式以存活是否超過某固定時間做為免疫的指標;另一方向則以競爭風險發生順序為指標,後兩者對免疫均有明確的定義。所考慮的推論方法,則有迴歸分析、非迴歸分析以及無母數分析三種,論文的重點放在迴歸分析方法的回顧。zh_TW
dc.description.abstractIn classical survival analysis, it is implicitly assumed that the event of interest will occur eventually. However, this assumption may not implausible when there exist a proportion of subjects who will never experience the event despite of long-term follow-up. In the thesis, we will review the literature on cure models. Three types of cure models are considered according to the definition of “immune” or “cure”. In the first type, there is no explicit definition for the immune. In other words, cured individuals are always mixed with susceptible but censored ones. The second class defines cure as being able to survive beyond a pre-specified time period. For the third type, whether a subject is immune is determined by the order of competing events. Inference methods for cure models include parametric, semi-parametric and nonparametric analysis. The focus here is on semi-parametric regression analysis.en_US
dc.language.isozh_TWen_US
dc.subject存活分析zh_TW
dc.subject治癒模式zh_TW
dc.subject競爭風險zh_TW
dc.subject免疫zh_TW
dc.subject治癒zh_TW
dc.subjectsurvival analysisen_US
dc.subjectcure modelen_US
dc.subjectcompeting risken_US
dc.subjectimmuneen_US
dc.subjectcureen_US
dc.title治癒模式之文獻回顧zh_TW
dc.titleLiterature Review of the Cure Modelen_US
dc.typeThesisen_US
dc.contributor.department統計學研究所zh_TW
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