کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
416276 | 681320 | 2015 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Joint latent class model of survival and longitudinal data: An application to CPCRA study
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کلمات کلیدی
survival analysis - آنالیز بقاءInformative dropout - افت تحصیلیCounting process - روند شمارشDependent censoring - سانسور وابستهFrailty model - مدل FrailtyProportional hazards model - مدل خطرات نرم افزاریMixture model - مدل مخلوطMixed effects model - مدل های مختلف مخلوطGaussian quadrature - کوادراکت گاوسی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
There has been an increasing interest in the joint analysis of repeated measures and time to event data. In many studies, there could also exist heterogeneous subgroups. Thus a new model is proposed for the joint analysis of longitudinal and survival data with underlying subpopulations identified by latent class model. Within each latent class, a joint model of longitudinal and survival data with shared random effects is adopted. The proposed model is applied to Terry Beirn Community Programs for Clinical Research on AIDS study (CPCRA) to characterize the underlying heterogeneity of the cohort and to study the relation between longitudinal CD4 measures and time to death. The proposed model is desirable when the heterogeneity among subjects cannot be ignored and both the longitudinal and survival outcomes are of interest.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Statistics & Data Analysis - Volume 91, November 2015, Pages 40-50
Journal: Computational Statistics & Data Analysis - Volume 91, November 2015, Pages 40-50
نویسندگان
Yue Liu, Lei Liu, Jianhui Zhou,