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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2016.8
- 수록면
- 1,083 - 1,090 (8page)
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In clinical studies, different types of outcomes (e.g. repeated measures data and time-to-event data) for the same subject tend to be observed, and these data can be correlated. For example, a response variable of interest can be measured repeatedly over time on the same subject and at the same time, an event time representing a terminating event is also obtained. Joint modelling using a shared random effect is useful for analyzing these data. Inferences based on marginal likelihood may involve the evaluation of analytically intractable integrations over the random-effect distributions. In this paper we propose a joint HGLM approach for analyzing such outcomes using the HGLM (hierarchical generalized linear model) method based on h-likelihood (i.e. hierarchical likelihood), which avoids these integration itself. The proposed method has been demonstrated using various numerical studies.
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참고문헌 (17)
참고문헌 신청
[학술지(정기간행물)] - Breslow, N. E. / 1972 / Discussion of professor Cox's paper / Journal of the Royal Statistical Society B 34 : 216 ~ 217
[학술지(정기간행물)] - Christian, N. J. / 2016 / Hierarchical likelihood inference on clustered competing risks data / Statistics in Medicine 35 : 251 ~ 267
[학술지(정기간행물)] - Cox, D. R. / 1972 / Regression models and life tables(with Discussion) / Journal of the Royal Statistical Society B 74 : 187 ~ 220
[학술지(정기간행물)] - Elasho, R. M. / 2008 / A joint model for longitudinal measurements and survival data in the presence of multiple failure types / Biometrics 64 : 762 ~ 771
[학술지(정기간행물)] - Guo, X. / 2004 / Separate and joint modeling of longitudinal and event time data using standard computer packages / American Statistician 58 : 16 ~ 24
[학술지(정기간행물)] - Christian, N. J. / 2016 / Hierarchical likelihood inference on clustered competing risks data / Statistics in Medicine 35 : 251 ~ 267
[학술지(정기간행물)] - Cox, D. R. / 1972 / Regression models and life tables(with Discussion) / Journal of the Royal Statistical Society B 74 : 187 ~ 220
[학술지(정기간행물)] - Elasho, R. M. / 2008 / A joint model for longitudinal measurements and survival data in the presence of multiple failure types / Biometrics 64 : 762 ~ 771
[학술지(정기간행물)] - Guo, X. / 2004 / Separate and joint modeling of longitudinal and event time data using standard computer packages / American Statistician 58 : 16 ~ 24
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UCI(KEPA) : I410-ECN-0101-2018-041-001378369