标题: | 心血管疾病发病年纪之统计分析_基隆社区整合筛检研究 Statistical Analysis of Age-onset for Cardiovascular Diseases based on Keelung Community-based Integrated Screening Study |
作者: | 林佩青 Lin, Pei-Ching 王维菁 Wang, Wei-Jing 统计学研究所 |
关键字: | 发病年纪;左截切;无母数分析;回归;右设限;幸存分析;Age onset;Left truncation;Nonparametric analysis;Regression;Right censoring;Survival analysis |
公开日期: | 2015 |
摘要: | 心血管疾病在台湾十大死因中占了其中的四大项。本篇论文主要的目的是利用一笔来自基隆社区为基础的资料,研究心血管疾病发病的年纪。所有的参与者在进入研究之前必须是没有罹患心血管疾病的,并且统一在研究结束时检查每个人是否罹患心血管疾病。也因为这些筛检的过程而造成抽样偏差。因此利用统计的手法将资料视为是左截切与右设限的型态之下进行分析。我们得到了利用无母数所估计出来的发病年纪分布以及使用Cox模型之下的回归分析。除了资料分析之外,我们也利用模拟的手法观察忽略截切所带来的影响。 Cardiovascular diseases are among the top 10 causes of death in Taiwan. In the thesis, we aim to study the age-onset for cardiovascular diseases (CVD) using the data collected by the Keelung community-based integrated screening study. All the subjects were free of CVD when they just entered the study and later were examined whether they developed CVD during the study period. Such a selection process, however, produces sampling bias. Therefore we analyze the data by statistical methods which account for the effects of left truncation and right censoring. We obtain nonparametric estimators of the age-onset distribution and then conduct regression analysis under the Cox proportional hazard model. Besides data analysis, we also perform simulations to examine the sensitivity issue when the truncation effect is ignored. |
URI: | http://140.113.39.130/cdrfb3/record/nctu/#GT070252611 http://hdl.handle.net/11536/126003 |
显示于类别: | Thesis |