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Table 6 Estimated parameters, Goodness-of-fit statistics and dose reduction of BGrank

From: Regression models for analyzing radiological visual grading studies – an empirical comparison

Model Coefficient Goodness-of-fit Dose Reduction
logCTDI id2 id4 AIC Pseudo R2 id2 id4
  Est. P-value Est. P-value Est. P-value
regressa −4.812 <0.001 −0.863 <0.001 −0.683 <0.001 - 0.1141 16.41 % 13.24 %
(−5.299, −4.324) (−1.035, −0.690) (−0.856, −0.511) (13.82 %, 19.00 %) (10.53 %, 15.95 %)
ologita −9.793 <0.001 −1.734 <0.001 −1.424 <0.001 2420.57 0.1297 16.23 % 13.53 %
(−10.916, −8.671) (−2.081, −1.387) (−1.780, −1.067) (13.80 %, 18.65 %) (10.86 %, 16.20 %)
rologita −5.344 <0.001 −0.881 <0.001 −0.836 <0.001 1308.64 0.1461 15.20 % 14.48 %
(−6.116, −4.571) (−1.117. −0.645) (−1.081, −0.592) (12.01 %, 18.40 %) (11.10 %, 17.87 %)
mixedb −4.812 <0.001 −0.862 <0.001 −0.683 <0.001 2617. 17 0.000 16.41 % 13.24 %
(−5.286, −4.337) (−1.030, −0.694) (−0.851, −0.515) (13.88 %, 18.94 %) (10.60 %, 15.88 %)
meologitb −10.460 <0.001 −1.861 <0.001 −1.545 <0.001 2355.74 0.0086 16.30 % 13.73 %
(−10.633, −10.288) (−2.144, −1.579) (−1.846, −1.245) (14.01 %, 18.59 %) (11.24 %, 16.23 %)
  1. 95 % confidence limits of each estimate given in parentheses
  2. aregression model with fixed effects only
  3. bregression model with fixed and random effects