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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 제10권 제1호
- 발행연도
- 2008.1
- 수록면
- 11 - 18 (8page)
이용수
초록· 키워드
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The crossing hazards are often observed in clinical trials on time-to-event. This indicates a strong non-proportional hazards (non-PH) structure and may occur due to a heterogeneity between survival data. Frailty, a random-effect term in hazard models, usually accounts such heterogeneity and the resulting marginal model, which is obtained by integrating out the frailty, leads to a non-PH model. Accordingly, in this paper we propose how to model the crossing hazards via a frailty and to fit the proposed model using SAS PROC NLMIXED. The proposed method is illustrated with a well-known data set from a randomized clinical trial on gastric cancer patients, where the aim of trial is to investigate the effect of chemotherapy (group 1) and combined chemotherapy and radiotherapy (group 2) on survival times of gastric cancer patients.
목차
등록된 정보가 없습니다.
참고문헌 (16)
참고문헌 신청
Aalen, O. O. / 1988 / Heterogeneity in survival analysis / Statistics in Medicine 7 : 1121 ~ 1137
Cox, D. R. / 1972 / Regression models and life-tables(with discussion) / Journal of the Royal Statistical Society B 34 : 187 ~ 220
Ha, I. D. / 2003 / Estimating frailty models via Poisson hierarchical generalized linear models / Journal of Computational and Graphical Statistics 12 : 663 ~ 681
Ha, I. D. / 2005 / Comparison of hierarchical likelihood versus orthodox best linear unbiased predictor approaches for frailty models / Biometrika 92 : 717 ~ 723
Ha, I. D. / 2007 / Model selection for multi-component frailty models / Statistics in Medicine 26 : 4790 ~ 4807
Cox, D. R. / 1972 / Regression models and life-tables(with discussion) / Journal of the Royal Statistical Society B 34 : 187 ~ 220
Ha, I. D. / 2003 / Estimating frailty models via Poisson hierarchical generalized linear models / Journal of Computational and Graphical Statistics 12 : 663 ~ 681
Ha, I. D. / 2005 / Comparison of hierarchical likelihood versus orthodox best linear unbiased predictor approaches for frailty models / Biometrika 92 : 717 ~ 723
Ha, I. D. / 2007 / Model selection for multi-component frailty models / Statistics in Medicine 26 : 4790 ~ 4807
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