Skip to main content

Table 5 Estimated parameters, Goodness-of-fit statistics and dose reduction of GWrank

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

4.482

<0.001

0.850

<0.001

0.696

<0.001

-

0.0959

17.27 %

14.38 %

(3.981, 4.983)

(0.673, 1.027)

(0.518, 0.873)

(14.44 %, 20.11 %)

(11.44 %, 17.32 %)

ologita

9.247

<0.001

1.780

<0.001

1.531

<0.001

2462.68

0.1138

17.51 %

15.26 %

(8.126, 10.368)

(1.428, 2.132)

(1.168, 1.894)

(14.99 %, 20.02 %)

(12.51 %, 18.01 %)

rologita

5.537

<0.001

1.232

<0.001

0.932

<0.001

1303.66

0.1493

19.95 %

15.49 %

(4.734, 6.340)

(0.969, 1.495)

(0.666, 1.197)

(17.06 %, 22.84 %)

(12.24 %, 18.74 %)

mixedb

4.482

<0.001

0.850

<0.001

0.696

<0.001

2670.66

0.0000

17.27 %

14.38 %

(3.995, 4.970)

(0.677, 1.023)

(0.523, 0.869)

(14.51 %, 20.04 %)

(11.51 %, 17.24 %)

meologitb

9.267

<0.001

1.751

<0.001

1.549

<0.001

2452.89

0.0320

17.22 %

15.40 %

(8.991, 9.543)

(1.416, 2.086)

(1.214, 1.885)

(14.36 %, 20.07 %)

(12.43 %, 18.36 %)

  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