Table 1.

Biases and Root Mean Squared Errors (RMSEs) for the proposed Bayesian and Pseudo-MLE approaches in a genotype-based case-control study. Genetic (G) and environmental (X) factors are binary with pr(G = 1) = 0.5 and pr(X = 1) = 0.5. pr(D = 1) = 0.016 is assumed to be known in the underlying population. Misclassification probabilities are pr(W = 1|X = 0) = 0.15 and pr(W = 0|X = 1) = 0.10. The results is based on 500 replications of n₁ cases and n₀ controls

			Proposed Bayesian Analysis		Pseudo-MLE
	Parameter	True Value	Bias	RMSE	Bias	RMSE
n0 = 200	βx	1.099	−0.007	0.229	0.023	0.339
n1 = 200	βg	0.693	−0.075	0.336	−0.195	1.023
	βxg	0.693	0.103	0.461	0.217	1.064
	θ	0.500	−0.002	0.002	−0.001	0.021
	η	0.500	−0.005	0.003	0.001	0.048
n0 = 1, 000	βx	1.099	−0.003	0.095	0.005	0.155
n1 = 1, 000	βg	0.693	−0.021	0.162	−0.004	0.305
	βxg	0.693	0.029	0.206	0.001	0.327
	θ	0.500	−0.001	0.001	0.000	0.008
	η	0.500	−0.001	0.001	0.002	0.022