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Efficient Estimation of Additive Hazard Model With Left-Truncated and Right-Censored Survival Data

المؤلف الرئيسي: Ghafil, Wissam Kamil (Author)
مؤلفين آخرين: Al-Mosawi, Riyadh Rustam Muhsen (Advisor)
التاريخ الميلادي: 2016
موقع: الناصرية
الصفحات: 1 - 75
رقم MD: 881202
نوع المحتوى: رسائل جامعية
اللغة: الإنجليزية
الدرجة العلمية: رسالة ماجستير
الجامعة: جامعة ذي قار
الكلية: كلية التربية للعلوم الصرفة
الدولة: العراق
قواعد المعلومات: Dissertations
مواضيع:
رابط المحتوى:
صورة الغلاف QR قانون

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041 |a eng 
100 |9 474737  |a Ghafil, Wissam Kamil  |e Author 
245 |a Efficient Estimation of Additive Hazard Model With Left-Truncated and Right-Censored Survival Data 
260 |a الناصرية  |c 2016 
300 |a 1 - 75 
336 |a رسائل جامعية 
502 |b رسالة ماجستير  |c جامعة ذي قار  |f كلية التربية للعلوم الصرفة  |g العراق  |o 0037 
520 |a In this thesis, an additive hazard model is considered as a semiparametric model in which the unknown parameter consists of finite dimensional and infinite dimensional parts with left truncated and right censored data. Chapter 1 includes some basic definitions, theorems and some important related works. In Chapter 2, the full likelihood function for the model is obtained for the parametric part and also for the nonparametric part using linear sieve procedure and then compute the maximum likelihood estimators for the two parts. The consistency of the maximum likelihood estimators is also proved for the two type of parameters. Chapter 3 focuses on computing the score operators for the parametric and nonparametric parts and proved their linearity and continuity and compute their adjoint score operators. An efficient score function is computed using the results of martingale theory for the counting process. Finally, a simulation study using Monti-Carlo method and R language is implemented to compute the maximum likelihood estimators and compare the results of the proposed method with the true values. It is shown through the simulation results the efficiency of the proposed method to find the maximum likelihood estimators. As a real life application, Stanford heart transplant data is considered and the maximum likelihood estimators are computed. List of Published or Submitted Papers 1. Efficient Estimation of Left-Truncated and Right Censored Data with Additive Hazard Model. Accepted and it will be published in journal for college of education for pure science, Thi-Qar University, 2016 2. Simeparametric Efficiency of Additive Hazard Model with Left Truncated and Right-Censored using martingale method. Submitted for publication, 2016 
653 |a تقدير الاحتمالات  |a نموذج المخاطر المضافة  |a نظرية مارتينجال  |a طريقة مونتي كارلو 
700 |9 474738  |a Al-Mosawi, Riyadh Rustam Muhsen  |e Advisor 
856 |u 9805-016-008-0037-T.pdf  |y صفحة العنوان 
856 |u 9805-016-008-0037-A.pdf  |y المستخلص 
856 |u 9805-016-008-0037-C.pdf  |y قائمة المحتويات 
856 |u 9805-016-008-0037-F.pdf  |y 24 صفحة الأولى 
856 |u 9805-016-008-0037-1.pdf  |y 1 الفصل 
856 |u 9805-016-008-0037-2.pdf  |y 2 الفصل 
856 |u 9805-016-008-0037-3.pdf  |y 3 الفصل 
856 |u 9805-016-008-0037-4.pdf  |y 4 الفصل 
856 |u 9805-016-008-0037-R.pdf  |y المصادر والمراجع 
856 |u 9805-016-008-0037-S.pdf  |y الملاحق 
930 |d y 
995 |a Dissertations 
999 |c 881202  |d 881202 

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