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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Bibliographic Details
Main Authors: Mohd. Khalid, Zarina (Author), J.T Borgan, Morgan (Author)
Format: Article
Language:English
Published: Faculty of Science, UTM, 2008.
Subjects:
Online Access:Get fulltext
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520 |a 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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