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The correlation between the two physicians' ranking was ρ = 0.86.
In case of diagnostic discrepancy between the two physicians, the diagnosis was made after consensus.
First, the interpretation discrepancies between the two physicians were identified within xB and within F3D.
The correlation coefficient between the two physicians' ranking (ρ = 0.86) showed that the consensus was necessary for a final decision, and a tool to reduce inter- and intra-observer bias for diffuse heterogeneity quantification is needed.
Intraclass correlation coefficients (ICCs) ranged from 0.76 to 0.88 for all measurements except epiglottis thickness (ICC = 0.57) and Bland Altman plots demonstrated consistency over the range of values between the two physicians (Figs. 2, 3).
The kappa statistic is used to analyze the agreement between the two physicians taking into account the likelihood they will agree on common category of death based on chance alone.
Similar(48)
The most noticeable difference between the two physician groups was the complaint among surgeons working longer shifts that the hours cut into time with their families, friends and activities outside of work.
There was 85% agreement between the two physician assessors.
In case of any disagreement between the two physician coders, a process of reconciliation was attempted.
Comparison of the scores for the five factors between the two physician groups revealed that, compared with psychiatrists, GPs believe more strongly that depression is how people with poor stamina deal with stress (Factor 1; p < 0.0001) and that GPs feel it is less rewarding treating patients with depression (Factor 2; p < 0.0001).
Reproducibility between the four physicians had a kappa of 0.499 (CI 0.350 to 0.652).
More suggestions(20)
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