Table 3 Comparison of discrimination performance of prediction models in woman

Cox regression vs.Lasso-Cox

-0.144(-0.305,0.018)

0.08

-0.002(-0.008,0.004)

0.56

Cox regression vs.RSF

-0.016(-0.174,0.141)

0.84

-0.011(-0.030,0.009)

0.29

Cox regression vs.China-PAR

0.024(-0.028,0.077)

0.37

-0.078(-0.099,-0.056)

< 0.01

Cox regression vs.FRS

-0.012(-0.022,-0.002)

< 0.01

-0.125(-0.153,-0.096)

< 0.01

Lasso-Cox vs.RSF

-0.032(-0.190,0.126)

0.69

-0.009(-0.028,0.010)

0.36

Lasso-Cox vs.China-PAR

0.005(-0.044,0.053)

0.85

-0.076(-0.096,-0.055)

< 0.01

Lasso-Cox vs.FRS

-0.010(-0.019,-0.001)

0.02

-0.123(-0.151,-0.095)

< 0.01

RSF vs.China-PAR

0.008(-0.016,0.031)

0.52

-0.067(-0.081,-0.053)

< 0.01

RSF vs.FRM

-

-

-0.114(-0.135,-0.093)

< 0.01

China-PAR vs.FRS

-0.004(-0.010,-0.002)

0.16

-0.047(-0.060,-0.035)

< 0.01