Table 5 Grid multinomial logistic model fitting by separate mammography datasets

\( {\widehat{\alpha}}_1 \)

−0.986

1.111

−0.886

0.375

\( {\widehat{\beta}}_{1,1} \)

1.132

0.547

2.067

0.038

\( {\widehat{\beta}}_{2,1} \)

0.817

0.539

1.514

0.129

\( {\widehat{\beta}}_{3,1} \)

−0.290

0.644

−0.450

0.652

\( {\widehat{\beta}}_{4,1} \)

−0.148

0.076

−1.940

0.052

\( {\widehat{\beta}}_{5,1} \)

1.065

0.459

2.319

0.020

\( {\widehat{\beta}}_{6,1} \)

1.052

0.514

2.043

0.041

\( {\widehat{\beta}}_{7,1} \)

−0.690

0.687

−1.004

0.314

\( {\widehat{\beta}}_{8,1} \)

−0.924

0.713

−1.295

0.195

\( {\widehat{\alpha}}_2 \)

−2.998

1.539

−1.948

0.051

\( {\widehat{\beta}}_{1,2} \)

2.456

0.775

3.168

0.001

\( {\widehat{\beta}}_{2,2} \)

1.924

0.777

2.475

0.013

\( {\widehat{\beta}}_{3,2} \)

0.110

0.922

0.119

0.905

\( {\widehat{\beta}}_{4,2} \)

−0.219

0.075

−2.905

0.003

\( {\widehat{\beta}}_{5,2} \)

1.366

0.437

3.122

0.001

\( {\widehat{\beta}}_{6,2} \)

1.291

0.529

2.437

0.014

\( {\widehat{\beta}}_{7,2} \)

0.904

1.126

0.802

0.422

\( {\widehat{\beta}}_{8,2} \)

0.017

1.161

0.014

0.988