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Table 1 The preset non-zero predictors and their assumed effect values of the different simulation scenarios

From: Gsslasso Cox: a Bayesian hierarchical model for predicting survival and detecting associated genes by incorporating pathway information

Simulation

scenarios

Group, non-zero predictors and effect size

1 non-overlap group

Group

group1

group5

group20

predictors

{x5

x 20

x40}

{x210

x 220

x240}

{x975

x995}

2 overlap group

Group

group1

group5

group20

predictors

{x5

x 20

x40}

{x210

x 220

x240}

{x975

x995}

3 varying group size (4/20/50)

Group

group1

group11

predictors

{x1

x 2

x 3

x4}

{x501

x 502

x 503

x504}

4 varying number of non-null groups (8/3/1)

Group

group1

group2

group7

group8

group11

group12

group19

group20

predictors

{x5}

{x55}

{x305}

{x355}

{x505}

{x555}

{x905}

{x955}

Group

group1

group8

group20

predictors

{x5

x 15

x25}

{x355

x 365

x375}

{x905

x915}

Group

group1

predictors

{x5

x 10

x 15

x 20

x 25

x 30

x 35

x40}

5 varying correlation within group (r = 0.0/0.5/0.7)

Group

group1

group5

group20

predictors

{x5

x 20

x40}

{x210

x 220

x240}

{x975

x995}

Effect size for above simulation scenarios

 

0.8

−0.7

1.0

−0.9

−0.8

0.9

−1.0

0.7

6 varying effect size

Group

group1

group5

group20

predictors

{x5

x 20

x40}

{x210

x 220

x240}

{x975

x995}

Effect size for scenario 6

 

(−2, 2)

−0.7

1.0

−0.9

−0.8

0.9

−1.0

0.7

  1. Note:{} quotes the predictors within a group.