Table 4.
Accuracy of variance components as proportions of the total variance, N = 1,000
| Nuclear | Extended | |||||
|---|---|---|---|---|---|---|
| Parameter | Model | RAND | ASC | RAND | ASC | |
| Marital | MP-MP | Est | 0.079 | 0068 | 0.0775 | 0.0696 |
| rMSE | 0.0877 | 0.0990 | 0.0894 | 0.0693 | ||
| SMP-SMP | Est | 0.1743 | 0.0636 | 0.1291 | 0.0555 | |
| rMSE | 0.0316 | 0.0781 | 0.0141 | 0.0866 | ||
| Sibling | SP-SP | Est | 0.0574 | 0.0669 | 0.0549 | 0.0713 |
| rMSE | 0.1095 | 0.1000 | 0.1122 | 0.0959 | ||
| SMP-SMP | Est | 0.0549 | 0.0554 | 0.057 | 0.0579 | |
| rMSE | 0.0883 | 0.1118 | 0.0860 | 0.1090 | ||
| Polygenic | FP-FP | Est | 0.0896 | 0.0604 | 0.1711 | 0.1388 |
| rMSE | 0.0775 | 0.1068 | 0.0000 | 0.0283 | ||
| MP-MP | Est | 0.0741 | 0.0655 | 0.0775 | 0.0643 | |
| rMSE | 0.0927 | 0.1015 | 0.0894 | 0.1030 | ||
| P-P | Est | 0.063 | 0.0805 | 0.0602 | 0.0755 | |
| rMSE | 0.1039 | 0.1196 | 0.1068 | 0.1249 | ||
| SMP-SMP | Est | 0.2169 | 0.0617 | 0.1759 | 0.0559 | |
| rMSE | 0.0742 | 0.0800 | 0.0332 | 0.0860 | ||
| SP-SP | Est | 0.0962 | 0.0723 | 0.0782 | 0.0603 | |
| rMSE | 0.0707 | 0.0949 | 0.0889 | 0.1068 | ||
| Familial | FP-FP | Est | 0.1133 | 0.0122 | 0.033 | 0.0139 |
| rMSE | 0.0539 | 0.3521 | 0.1342 | 0.1530 | ||
| P-FP | Est | 0.0198 | 0.0032 | 0.048 | 0.0102 | |
| rMSE | 0.0200 | 0.0032 | 0.0480 | 0.0100 | ||
* Model indicates the variance components that were simulated followed by those included in the analysis model (F = familial, M = marital, S = sibling and P = polygenic); Est is the average estimate across all replicates of that model; rMSE is the square root of the mean square error; ASC represents the analysis of an ascertained sample using ascertainment correction and RAND represents the analysis of a random sample without any such correction.