A sup-score test for the cure fraction in mixture models for long-term survivors.
Ontology highlight
ABSTRACT: The evaluation of cure fractions in oncology research under the well known cure rate model has attracted considerable attention in the literature, but most of the existing testing procedures have relied on restrictive assumptions. A common assumption has been to restrict the cure fraction to a constant under alternatives to homogeneity, thereby neglecting any information from covariates. This article extends the literature by developing a score-based statistic that incorporates covariate information to detect cure fractions, with the existing testing procedure serving as a special case. A complication of this extension, however, is that the implied hypotheses are not typical and standard regularity conditions to conduct the test may not even hold. Using empirical processes arguments, we co
SUBMITTER: Hsu WW
PROVIDER: S-EPMC8314275 | biostudies-literature | 2016 Dec
REPOSITORIES: biostudies-literature
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