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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국자료분석학회 Journal of The Korean Data Analysis Society Journal of The Korean Data Analysis Society 제7권 제1호
- 발행연도
- 2005.1
- 수록면
- 41 - 47 (7page)
이용수
초록· 키워드
오류제보하기
Frailty models with various structures such as shared, AR(1) or nested frailty structures have been developed, and are now widely used for analyzing multivariate survival data in the form of recurrent or multiple event times. For selecting a frailty structure in the(possibly) non-nested frailty models Ha and Cho(2003) used a new AIC(Akaike information criterion), based on hierarchical likelihood. However, they didn't provide an appropriate justification on this model-selection criterion. In this paper, we show how to construct reasonably this AIC from the HGLM(hierarchical generalized linear model, Lee and Nelder, 1996, 2001) setting and demonstrate via a numerical study that the AIC works well.
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등록된 정보가 없습니다.
참고문헌 (17)
참고문헌 신청
/ 1971 / Recovery of interblock information when block sizes are unequal : 545 ~ 554
/ 1977 / Maximum likelihood approaches to variance component estimation and related problems 72 : 320 ~ 340
/ 1980 / An analysis of comparative carcinogenesis experiments based on multiple times to tumor : 255 ~ 266
/ 1987 / Journal of the Royal Statistical Society : 1 ~ 39
/ 1993 / Covariance structure selection in general mixed models Communi- cations in Statistics-Simulation and Computation : 1079 ~ 1106
/ 1977 / Maximum likelihood approaches to variance component estimation and related problems 72 : 320 ~ 340
/ 1980 / An analysis of comparative carcinogenesis experiments based on multiple times to tumor : 255 ~ 266
/ 1987 / Journal of the Royal Statistical Society : 1 ~ 39
/ 1993 / Covariance structure selection in general mixed models Communi- cations in Statistics-Simulation and Computation : 1079 ~ 1106
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