Survival Analysis for Competing Risks Problems

• 발행기관: 한국자료분석학회
• 저자명: 김영주(Young-Ju Kim)
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.9 No.2, 523~534쪽, 전체 12쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2007.04.30

영문 초록

Competing risks problems are often found in various applications such as clinical trials, epidemiological studies, reliability problems, and econometrics where multiple failure causes are simultaneously competing for the ultimate failure and incomplete observations are obtained. Moeschberger and Klein(1995) provided a survey of dependent competing risks problem via a thorough review of statistical literature. The purpose of this paper is to update Moeschberger and Klein(1995) s review with statistical methods recently developed for competing risks problems without the independence assumption.

목차

1. Introduction

2. Nonparametric Methods

3. Cox-Type Approaches

4. Multivariate Modeling

5. Measure of Dependence among Failure Times

6. Masked Causes of Failure

7. Example

8. Discussion

Reference

키워드

Competing risks Dependent censoring Informative censoring Survival analysis