Table 4.

Accuracy of variance components as proportions of the total variance, N=1,000

Parameter	Model		Nuclear		Extended
			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.