A score test for assessing the cured proportion in the long-term survivor mixture model

Y. Zhao, A.H. Lee, K.K.W. Yau, Valerie Burke, G.J. Mclachlan

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    9 Citations (Scopus)

    Abstract

    The long-term survivor mixture model is commonly applied to analyse survival data when some individuals may never experience the failure event of interest. A score test is presented to assess whether the cured proportion is significant to justify the long-term survivor mixture model. Sampling distribution and power of the test statistic are evaluated by simulation studies. The results confirm that the proposed test statistic performs well in finite sample situations. The test procedure is illustrated using a breast cancer survival data set and the clustered multivariate failure times from a multi-centre clinical trial of carcinoma. Copyright © 2009 John Wiley & Sons, Ltd.
    Original languageEnglish
    Pages (from-to)3454-3466
    JournalStatistics in Medicine
    Volume28
    Issue number27
    DOIs
    Publication statusPublished - 2009

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  • Cite this

    Zhao, Y., Lee, A. H., Yau, K. K. W., Burke, V., & Mclachlan, G. J. (2009). A score test for assessing the cured proportion in the long-term survivor mixture model. Statistics in Medicine, 28(27), 3454-3466. https://doi.org/10.1002/sim.3696