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: Mohd. Khalid, Zarina, J.T Borgan, Morgan
格式: Article
語言:English
出版: Faculty of Science, UTM 2008
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在線閱讀: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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總結: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.