The TMC algorithm is a robust method for establishing reference intervals for tumor markers, automatically isolating outliers.
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TMC may aid robust RI estimation in labs; leaves open need for validation across populations before standardizing tumor marker intervals.
• The reference intervals calculated using RefineR, Kosmic, TMC, and non-parametric methods are similar, exhibiting only slight differences. • TMC algorithm is more robust, demonstrates a high pass rate among the four methods and has the ability to automatically isolate outliers, making it less susceptible to data distribution. • The RIs showed small differences between CEA and AFP groups, while CA125 and CA199 showed significant differences between age and sex.
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Chen et al. (2023) studied this question.
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