کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7546470 1489633 2018 19 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Robust variable selection of joint frailty model for panel count data
ترجمه فارسی عنوان
انتخاب متغیر قوی مدل شکنندگی مشترک برای داده های شمارش پانل
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات آنالیز عددی
چکیده انگلیسی
Panel count data are generated from studies that concern recurrent events or event history studies in which the subjects are observed only at specific points in time. Recently, research on panel count data has drawn considerable attention. The literature on variable selection of panel count data has so far been quite limited. In this paper, a robust variable selection approach based on the quantile regression function in a joint frailty model is proposed to analyze panel count data. A three-step estimation method is introduced to estimate the coefficients and unknown functions. Consistency and oracle properties are established under some mild regularity conditions. Simulations are used to assess the proposed estimation method. Bladder tumor cancer data are also re-analyzed as an illustration.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Multivariate Analysis - Volume 167, September 2018, Pages 60-78
نویسندگان
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