Analysis of Nested CGD Infection Data Using Multilevel Frailty Model

• 발행기관: 한국자료분석학회
• 저자명: Il Do Ha Geon-Ho Cho
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.6 No.3, 637~645쪽, 전체 9쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2004.06.30

영문 초록

Multivariate event-time data with nested structures can be modelled by random-effect survival models such as multilevel frailty models. We show how to analyze the chronic granulomatous disease data(Fleming and Harrington, 1991), which comprise recurrent infection times of patients from different hospitals, using multilevel frailty model. Inferences are developed using hierarchical-likelihood, which provides a simple unified framework and a numerically efficient fitting algorithm for various random-effect models.

목차

1. Introduction

2. The CGD Data

3. H-Likelihood Procedure for Multilevel Frailty Model

4. Analysis of CGD Data

5. Discussion

References

키워드

Hierarchical-likelihood Multilevel frailty models Model selection Nested survival data