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المؤلفZyoud A.
المؤلفElfaki F.A.M.
المؤلفHrairi M.
تاريخ الإتاحة2020-02-05T08:53:39Z
تاريخ النشر2018
اسم المنشورJournal of Physics: Conference Series
اسم المنشور4th International Conference on Mathematical Applications in Engineering 2017, ICMAE 2017
المصدرScopus
الرقم المعياري الدولي للكتاب17426588
معرّف المصادر الموحدhttp://dx.doi.org/10.1088/1742-6596/949/1/012002
معرّف المصادر الموحدhttp://hdl.handle.net/10576/12779
الملخصThe term 'survival analysis' has been used in a broad sense to describe collection of statistical procedures for data analysis. In this case, outcome variable of interest is time until an event occurs where the time to failure of a specific experimental unit might be censored which can be right, left, interval, and Partly Interval Censored data (PIC). In this paper, analysis of this model was conducted based on parametric Cox model via PIC data. Moreover, several imputation techniques were used, which are: midpoint, left & right point, random, mean, and median. Maximum likelihood estimate was considered to obtain the estimated survival function. These estimations were then compared with the existing model, such as: Turnbull and Cox model based on clinical trial data (breast cancer data), for which it showed the validity of the proposed model. Result of data set indicated that the parametric of Cox model proved to be more superior in terms of estimation of survival functions, likelihood ratio tests, and their P-values. Moreover, based on imputation techniques; the midpoint, random, mean, and median showed better results with respect to the estimation of survival function. Published under licence by IOP Publishing Ltd.
اللغةen
الناشرInstitute of Physics Publishing
العنوانParametric Model Based on Imputations Techniques for Partly Interval Censored Data
النوعConference Paper
الصفحات-
رقم العدد1
رقم المجلد949
dc.accessType Open Access


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