標題: | Marginal Regression Analysis for Semi-Competing Risks Data Under Dependent Censoring |
作者: | Ding, A. Adam Shi, Guangkai Wang, Weijing Hsieh, Jin-Jian 統計學研究所 Institute of Statistics |
關鍵字: | artificial censoring;log-rank statistic;multiple events data;transformation model |
公開日期: | 1-九月-2009 |
摘要: | Multiple events data are commonly seen in medical applications. There are two types of events, namely terminal and non-terminal. Statistical analysis for non-terminal events is complicated due to dependent censoring. Consequently, joint modelling and inference are often needed to avoid the problem of non-identifiability. This article considers regression analysis for multiple events data with major interest in a non-terminal event such as disease progression. We generalize the technique of artificial censoring, which is a popular way to handle dependent censoring, under flexible model assumptions on the two types of events. The proposed method is applied to analyse a data set of bone marrow transplantation. |
URI: | http://dx.doi.org/10.1111/j.1467-9469.2008.00635.x http://hdl.handle.net/11536/6723 |
ISSN: | 0303-6898 |
DOI: | 10.1111/j.1467-9469.2008.00635.x |
期刊: | SCANDINAVIAN JOURNAL OF STATISTICS |
Volume: | 36 |
Issue: | 3 |
起始頁: | 481 |
結束頁: | 500 |
顯示於類別: | 期刊論文 |