کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1144534 957419 2016 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Frailty model approach for the clustered interval-censored data with informative censoring
ترجمه فارسی عنوان
رویکرد مدل شکنندگی برای داده های فاصله سانسور خوشه ای با سانسور آگاهی بخش
کلمات کلیدی
داده بازه‌ای سانسور خوشه ای ؛ الگوریتم EM؛ اثر شکنندگی؛ تقریب گاوس هرمیت؛ سانسور آموزنده
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات آمار و احتمال
چکیده انگلیسی

Interval censoring is frequently encountered in many clinical trials with periodic follow-up as the time of a specific event, such as death, is determined within an interval. Most existing methodologies with regression analysis were extended and developed under the assumption of non-informative censoring mechanism. However, this assumption sometimes does not hold. Subsequently, it is impossible to test the dependence or independence assumption of the censoring mechanism. One remedy to circumvent these difficulties is to impose extra assumptions or modeling. In this article, we employ the Cox proportional hazards models with a shared frailty effect incorporated with clustered interval-censored data for which there exists a dependency between the failure and visiting times. The parameters are estimated via the EM algorithm. Simulations are performed to investigate the finite-sample properties of the proposed method. Finally, two real datasets are analyzed to demonstrate our methodologies.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of the Korean Statistical Society - Volume 45, Issue 1, March 2016, Pages 156–165
نویسندگان
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