| Literature DB >> 19697291 |
Yun Zhao1, Andy H Lee, Kelvin K W Yau, Valerie Burke, Geoffrey J McLachlan.
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.Entities:
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Year: 2009 PMID: 19697291 PMCID: PMC2885914 DOI: 10.1002/sim.3696
Source DB: PubMed Journal: Stat Med ISSN: 0277-6715 Impact factor: 2.373