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Table 7 Estimated parameters, Goodness-of-fit statistics and dose reduction of GQrank

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

−4.671

<0.001

−0.817

<0.001

−0.463

<0.001

-

0.1134

16.04 %

9.43 %

(−5.158, −4.183)

(−.989, −.644)

(−0.635, −0.290)

(13.36 %, 18.73 %)

(6.44 %, 12.42 %)

ologita

−9.433

<0.001

−1.691

<0.001

−1.033

<0.001

2427.97

0.1269

16.41 %

10.37 %

(−10.550, −8.317)

(−2.039, −1.343)

(−1.395, −0.672)

(13.93 %, 18.88 %)

(7.39 %, 13.36 %)

rologita

−4.766

<0.001

−0.709

<0.001

−0.576

<0.001

1337.79

0.1270

13.81 %

11.38 %

(−5.516, −4.015)

(−0.940, −0.477)

(−0.823, −0.328)

(10.23 %, 17.40 %)

(7.35 %, 15.41 %)

mixedb

−4.671

<0.001

−0.8167

<0.001

−0.4625

<0.001

2619.45

0.0000

16.04 %

9.43 %

(−5.145, −4.196)

(−0.985, −0.648)

(−0.631, −0.294)

(13.42 %, 18.66 %)

(6.51 %, 12.34 %)

meologitb

−9.380

<0.001

−1.680

<0.001

−1.027

<0.001

2367.96

0.0105

16.40 %

13.37 %

(−9.506, −9.255)

(−1.956, −1.405)

(−1.331, −0.723)

(13.91 %, 18.89 %)

(7.45 %, 13.29 %)

  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