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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.
Inter-rater reliability across the two test sessions was calculated using a two way random effects model for absolute agreement.
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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).
Standard errors were calculated using an error model accounting for absolute and proportional error sources, along with well-to-well, plate-to-plate, and day-to-day variability in ELISA measurements.
The focus on 3- and 5-year rates leads to the common comparator for between model types for absolute survival rates, and absolute differences in survival rates by treatment.
Therefore, a prediction model for the absolute value of autogenous shrinkage is needed in order to obtain predicted autogenous shrinkage strain.
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