OLR (16) † | AQTDTM (17) | OLMM (19) | ALMM (20) | |||||
---|---|---|---|---|---|---|---|---|
n |
|
| ||||||
HP | SP | HP | SP | HP | SP | HP | SP | |
100 | -0.010 | -0.505 | -0.012 | -0.049 | -0.026 | -0.508 | -0.023 | -0.052 |
200 | -0.022 | -0.507 | -0.049 | -0.040 | -0.019 | -0.494 | -0.031 | -0.023 |
300 | -0.002 | -0.500 | -0.003 | 0.028 | -0.010 | -0.505 | -0.004 | 0.025 |
400 | -0.020 | -0.499 | -0.018 | 0.002 | -0.008 | -0.496 | -0.012 | 0.006 |
500 | 0.007 | -0.494 | 0.012 | 0.004 | 0.005 | -0.495 | 0.006 | -0.002 |
600 | 0.000 | -0.496 | 0.010 | 0.003 | -0.001 | -0.499 | 0.001 | 0.001 |
Table S3b. Bias results for gene-environment effect assessment comparing ordinary statistical methods (OLR and OLMM) with family-based methods (AQTDT M and ALMM) under homogeneous (HP) and stratified (SP) populations. Each time, n cases were simulated with parameters β 3 = α 7 = 1. Simulations are based on the recessive genetic model. † = number that identifies each model in the paper. | ||||||||
n |
|
| ||||||
OLR (21) † | AQTDTM (22) | OLMM (23) | ALMM (24) | |||||
HP | SP | HP | SP | HP | SP | HP | SP | |
100 | 0.008 | -0.962 | 0.001 | 0.048 | 0.006 | -1.003 | 0.017 | 0.027 |
200 | -0.008 | -1.042 | 0.020 | -0.007 | -0.001 | -1.024 | 0.019 | -0.006 |
300 | 0.011 | -1.005 | 0.048 | 0.001 | 0.009 | -1.004 | 0.012 | 0.010 |
400 | 0.014 | -1.001 | 0.019 | 0.022 | 0.001 | -0.988 | -0.009 | 0.034 |
500 | 0.011 | -1.010 | 0.000 | -0.028 | -0.002 | -1.010 | -0.012 | -0.006 |
600 | 0.016 | -0.967 | 0.016 | 0.033 | 0.015 | -0.973 | 0.008 | 0.032 |