Cross-sectional and longitudinal approaches in a survival mixture model
In this article, we explore the performance of estimators in mixture sur- vival model using simulated data recorded cross-sectionally and longitudinally. We use the maximum likelihood estimation approach in estimating the unknown model parameters. We found, in particular, that the maximum likelihood...
محفوظ في:
المؤلفون الرئيسيون: | , |
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التنسيق: | مقال |
اللغة: | English |
منشور في: |
Faculty of Science, UTM
2008
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الموضوعات: | |
الوصول للمادة أونلاين: | http://eprints.utm.my/id/eprint/11720/1/ZarinaMohdKhalid2008_Cross-sectional_and_longitudinal_approaches.pdf http://eprints.utm.my/id/eprint/11720/ http://www.fs.utm.my/matematika/images/stories/matematika/200824211.pdf |
الوسوم: |
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المؤسسة: | Universiti Teknologi Malaysia |
اللغة: | English |
الملخص: | In this article, we explore the performance of estimators in mixture sur- vival model using simulated data recorded cross-sectionally and longitudinally. We use the maximum likelihood estimation approach in estimating the unknown model parameters. We found, in particular, that the maximum likelihood estimator for the proportion of long-term survivors in longitudinal setting gain better efficiency and precision for a certain distance of recording time. |
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