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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