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Since the two raters were considered a random sample of the population of possible raters, intraclass correlation coefficients were computed on the basis of two-way random effects models for absolute agreement [ 15, 18].
Using two conditional logistic regression models (for absolute breast FA and relative breast FA) the crude and adjusted relative odds of breast cancer were estimated for each breast FA variable and other known potential risk factors and confounders, together with 95% confidence intervals (95% CI).
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As an additional measure of inter-rater reliability, which is also sensitive to systematic bias, we calculated an intraclass correlation coefficient (ICC) using a two-way mixed effects model for absolute agreement of single measurements.
The ICC was calculated from a two-way random effects model, for absolute agreement.
The test-retest reproducibility was evaluated with the intraclass correlation coefficient (mixed model for absolute agreement).
The ICC calculations that were performed used the 2-way mixed model for absolute agreement.
Reliability is calculated using the ICC with a two-way mixed-effects model for absolute agreement.
The regression model for absolute risk showed that the absolute risk estimate was significantly associated with family history category.
Inter-rater reliability across the two test sessions was calculated using a two way random effects model for absolute agreement.
The intra-class correlation coefficient (ICC) was also calculated using the 2-way mixed model for absolute agreement [ 29].
† Model ICC (2,1) of SPSS v.15.0 has been used (i.e. single measure two-way random effects model for absolute agreement, see [ 50]).
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