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Table 2 Simulation results for K=3

From: Using ordinal outcomes to construct and select biomarker combinations for single-level prediction

Class

Model

μ=−1

μ=0

μ=1

μ=2

μ=3

P(D=1) = 0.1

Binary

Simple

0.976 (0.974, 0.978)

0.920 (0.915, 0.924)

0.773 (0.764, 0.780)

0.530 (0.508, 0.543)

0.670 (0.642, 0.684)

 

Sequential

0.974 (0.971, 0.976)

0.920 (0.915, 0.924)

0.773 (0.764, 0.780)

0.532 (0.519, 0.544)

0.720 (0.708, 0.729)

Nominal

BaselineCat

0.976 (0.974, 0.978)

0.920 (0.915, 0.924)

0.773 (0.764, 0.780)

0.532 (0.519, 0.544)

0.720 (0.707, 0.728)

Ordinal

CumLogit

0.970 (0.946, 0.975)

0.918 (0.912, 0.923)

0.776 (0.769, 0.783)

0.544 (0.536, 0.552)

0.313 (0.306, 0.320)

 

AdjCatLogit

0.970 (0.952, 0.975)

0.918 (0.912, 0.923)

0.776 (0.769, 0.783)

0.544 (0.536, 0.552)

0.313 (0.306, 0.320)

 

ContRatLogit

0.971 (0.958, 0.976)

0.918 (0.912, 0.923)

0.776 (0.769, 0.783)

0.544 (0.536, 0.552)

0.313 (0.306, 0.320)

 

Stereo

0.976 (0.974, 0.978)

0.920 (0.915, 0.924)

0.776 (0.769, 0.783)

0.535 (0.520, 0.547)

0.724 (0.715, 0.732)

P(D=1) = 0.5

Binary

Simple

0.950 (0.946, 0.952)

0.920 (0.915, 0.924)

0.841 (0.834, 0.848)

0.714 (0.705, 0.723)

0.588 (0.571, 0.599)

 

Sequential

0.924 (0.911, 0.933)

0.919 (0.915, 0.924)

0.842 (0.834, 0.848)

0.712 (0.701, 0.722)

0.743 (0.733, 0.752)

Nominal

BaselineCat

0.950 (0.946, 0.952)

0.920 (0.915, 0.924)

0.841 (0.835, 0.848)

0.712 (0.702, 0.722)

0.743 (0.733, 0.752)

Ordinal

CumLogit

0.054 (0.050, 0.062)

0.916 (0.907, 0.921)

0.844 (0.838, 0.849)

0.721 (0.715, 0.728)

0.599 (0.593, 0.604)

 

AdjCatLogit

0.073 (0.054, 0.198)

0.917 (0.911, 0.922)

0.844 (0.838, 0.849)

0.721 (0.715, 0.728)

0.599 (0.593, 0.604)

 

ContRatLogit

0.094 (0.057, 0.409)

0.917 (0.911, 0.922)

0.844 (0.838, 0.849)

0.721 (0.715, 0.728)

0.599 (0.593, 0.604)

 

Stereo

0.950 (0.947, 0.953)

0.920 (0.915, 0.924)

0.844 (0.838, 0.849)

0.718 (0.709, 0.725)

0.749 (0.741, 0.756)

  1. Results for n=400 and P(D=3)=0.05 when the cumulative logit model with proportional odds did not hold. The table presents the median and interquartile range of the AUCs for D=K vs. D<K in the test data for the combinations fitted by each modeling strategy