A score test for assessing the cured proportion in the long-term survivor mixture model.
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.
Zhao
Yun
Y
School of Public Health, Curtin Health Innovation Research Institute, Curtin University of Technology, GPO Box U 1987, Perth, WA 6845, Australia.
Lee
Andy H
AH
Yau
Kelvin K W
KK
Burke
Valerie
V
McLachlan
Geoffrey J
GJ
D001943:Breast Neoplasms / Q000401:mortality; D003198:Computer Simulation; D005260:Female; D006651:Histocytochemistry; D006801:Humans; D037102:Lectins / Q000737:chemistry; D008954:Models, Biological; D015233:Models, Statistical; D017741:Survivors
D037102:Lectins
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