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    Additional file 1: of Long-term prognostic implications of risk factors associated with tumor size: a case study of women regularly attending screening

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    Table S1. Linear regression coefficients for association between the tumor size (mm) and selected patient characteristics, multiple adjusted models. Table S2. Associations between patient characteristics and molecular subtype, overall and by each detection mode, estimated by multinomial logistic regression modeling. (DOCX 115 kb

    Additional file 2: of Long-term prognostic implications of risk factors associated with tumor size: a case study of women regularly attending screening

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    Figure S1. Model-predicted probabilities of a large (as opposed to small) tumor as a function of BMI and PD, respectively, keeping all other covariates at their mean value. The probabilities were estimated separately for screen-detected cancers and interval cancers (clinically detected). The gray area around the curve corresponds to the 95% confidence intervals. (EPS 274 kb
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