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

Stat Med

School of Public Health, Curtin Health Innovation Research Institute, Curtin University of Technology, GPO Box U 1987, Perth, WA 6845, Australia.

Published: November 2009

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2885914PMC
http://dx.doi.org/10.1002/sim.3696DOI Listing

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