Efficient estimation of left-truncated and right censored data with additive hazard model
Joint Authors
al-Musawi, Riyad R.
Ghafil, Wisam Kamil Ghafil Kamil
Source
Journal of College of Education for Pure Sciences
Issue
Vol. 10, Issue 1 (31 Mar. 2020), pp.165-174, 10 p.
Publisher
University of Thi-Qar College of Education for Pure Sciences
Publication Date
2020-03-31
Country of Publication
Iraq
No. of Pages
10
Main Subjects
Abstract EN
In this paper, 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.
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.
The score operators for the parametric and nonparametric parts are obtained and their adjoint score operators are computed.
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.
As a real life application, Stanford Heart transplant data is considered and the maximum likelihood estimators are computed
American Psychological Association (APA)
al-Musawi, Riyad R.& Ghafil, Wisam Kamil Ghafil Kamil. 2020. Efficient estimation of left-truncated and right censored data with additive hazard model. Journal of College of Education for Pure Sciences،Vol. 10, no. 1, pp.165-174.
https://search.emarefa.net/detail/BIM-1384198
Modern Language Association (MLA)
al-Musawi, Riyad R.& Ghafil, Wisam Kamil Ghafil Kamil. Efficient estimation of left-truncated and right censored data with additive hazard model. Journal of College of Education for Pure Sciences Vol. 10, no. 1 (Mar. 2020), pp.165-174.
https://search.emarefa.net/detail/BIM-1384198
American Medical Association (AMA)
al-Musawi, Riyad R.& Ghafil, Wisam Kamil Ghafil Kamil. Efficient estimation of left-truncated and right censored data with additive hazard model. Journal of College of Education for Pure Sciences. 2020. Vol. 10, no. 1, pp.165-174.
https://search.emarefa.net/detail/BIM-1384198
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 173-174
Record ID
BIM-1384198