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Akaike information criterion (AIC) calculations for the OS and DSS multivariate models with or without the SLC6A4 genotypes.

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Figshare2015-12-02 更新2026-04-29 收录
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https://figshare.com/articles/dataset/_Akaike_information_criterion_AIC_calculations_for_the_OS_and_DSS_multivariate_models_with_or_without_the_SLC6A4_genotypes_/274432
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Model 1 contains the clinical variables that were significant in the multivariate analyses; namely age, stage, grade, and MSI-H status (for both OS and DSS); Model 2 contains the SLC6A4-rs12150214 genotype as a variable in addition to the clinical variables in Model 1, and Model 3 contains the combined SLC6A4 genotypes (for rs4251417, rs12150214, rs140700) in addition to the variables in Model 1. ΔAIC is the difference in AIC values of a model and the best model, which is Model 3 for both OS and DSS.
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2015-12-02
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