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...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Faculty of Science, UTM
2008
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| Subjects: | |
| Online Access: | 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 |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |
| Summary: | 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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