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 115Â kb
Table S1. Univariate and multivariate Cox regression analyses of TILs, LMR, and clinicopathological ...
Multivariate analysis including Estrogen and Her2 receptor status. This additional file comprises 3 ...
Table S2. Patient and tumor characteristics. Demographic data for patients and clinical measurements...
Figure S1. Model-predicted probabilities of a large (as opposed to small) tumor as a function of BMI...
Table S1. Tumor detection characteristics by combinations of whole-image and localized density. Tabl...
Table S1. Patient and tumor characteristics for the different patient materials in the derivation se...
Table S1. For interval and screen-detected invasive breast cancer, marginal risk estimates for Cumul...
Table S1. Stage distribution by diagnosis mode among Volpara density grade categories. Table S2. Bio...
Estimated odds of tumor development in the four quadrants. Based on GEE modeling, there was a statis...
Supplementary Figures and Tables. This file contains the following figures and tables: Validation of...
Table S1. Number of person-years, in situ and invasive breast cancer cases by detection mode, interv...
Table S1. Prognostic molecular markers in published studies. Table S2. The relationship between mole...
Table S1. Breast cancer incidence and competing mortality rates used for each cohort to estimate abs...
Table S1. Adjusted≠ all- cause mortality hazards ratios. Table S2. Age adjusted mortality rates, str...
Is Table S1 presenting a description of study populations, Table S2 presenting KI67 immunohistochemi...
Table S1. Univariate and multivariate Cox regression analyses of TILs, LMR, and clinicopathological ...
Multivariate analysis including Estrogen and Her2 receptor status. This additional file comprises 3 ...
Table S2. Patient and tumor characteristics. Demographic data for patients and clinical measurements...
Figure S1. Model-predicted probabilities of a large (as opposed to small) tumor as a function of BMI...
Table S1. Tumor detection characteristics by combinations of whole-image and localized density. Tabl...
Table S1. Patient and tumor characteristics for the different patient materials in the derivation se...
Table S1. For interval and screen-detected invasive breast cancer, marginal risk estimates for Cumul...
Table S1. Stage distribution by diagnosis mode among Volpara density grade categories. Table S2. Bio...
Estimated odds of tumor development in the four quadrants. Based on GEE modeling, there was a statis...
Supplementary Figures and Tables. This file contains the following figures and tables: Validation of...
Table S1. Number of person-years, in situ and invasive breast cancer cases by detection mode, interv...
Table S1. Prognostic molecular markers in published studies. Table S2. The relationship between mole...
Table S1. Breast cancer incidence and competing mortality rates used for each cohort to estimate abs...
Table S1. Adjusted≠ all- cause mortality hazards ratios. Table S2. Age adjusted mortality rates, str...
Is Table S1 presenting a description of study populations, Table S2 presenting KI67 immunohistochemi...
Table S1. Univariate and multivariate Cox regression analyses of TILs, LMR, and clinicopathological ...
Multivariate analysis including Estrogen and Her2 receptor status. This additional file comprises 3 ...
Table S2. Patient and tumor characteristics. Demographic data for patients and clinical measurements...