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Table 3 Summary of results of the HyperLasso for the simulated data with only main effects

From: Empirical Bayesian LASSO-logistic regression for multiple binary trait locus mapping

Parameters

True/False positive effectsa

Shape a

Inverse scale b

Type I error α

0.1

1.7 × 10-3

0.05

10/1b

0.05

1.5 × 10-3

9/2

0.01

1.4 × 10-3

10/2

0.1

9.8 × 10-4

0.01

9/1

0.05

8.8 × 10-4

9/1

0.01

7.9 × 10-4

9/1

0.1

5.2 × 10-4

0.05 481

8/1

0.05

4.7 × 10-4

8/1

0.01

4.2 × 10-4

8/1

0.1

3.6 × 10-4

0.01 481

7/0

0.05

3.2 × 10-4

7/0

0.01

2.9 × 10-4

 

7/0

  1. aEffects with p-value ≤ 0.05 were considered as significant different from zero.
  2. bThe optimal results chosen for comparison with other methods.