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Table 4 Simulation results on score test.

From: Estimation and testing for the effect of a genetic pathway on a disease outcome using logistic kernel machine regression via logistic mixed models

  

Size

Power

h(z)

Method

a = 0

a = 0.2

a = 0.4

a = 0.8

Nonlinear

KM

0.054

0.142

0.896

1.000

 

GT

0.068

0.098

0.110

0.156

Linear

KM

0.055

0.265

0.896

1.000

 

GT

0.065

0.302

0.900

1.000

  1. This table shows the simulation study results of standard error estimates of β ^ MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaGafqOSdiMbaKaaaaa@2D86@ in model logit(π) = xβ+ h(z) for binary outcomes based on 300 simulations.
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BMC Bioinformatics

ISSN: 1471-2105

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