Table 7.

Analysis results of Baylor AD dataset under various models.

	Naive		M1		M2
	PMSD	95% CI	PMSD	95% CI	PMSD	95% CI
Outcome model
Int	0.683.353	−0.008, 1.374	−0.044.551	−1.200, 0.946	−0.7011.141	−3.831, 0.891
x	1.881.320	1.254, 2.507	2.674.520	1.762, 3.838	3.5391.180	1.887, 6.758
Pre-prog	−1.347.184	−1.707, −0.987	−1.681.241	−2.174, −1.222	−1.796.298	−2.431, −1.258
Age	−0.136.114	−0.360, 0.088	−0.175.148	−0.472, 0.104	−0.113.216	−0.491, 0.387
IQ	0.606.116	0.379, 0.834	0.917.158	0.616, 1.241	0.868.212	0.445, 1.291
Exposure model
Int	2.788.264	2.271, 3.304	2.864.278	2.347, 3.430	2.797.389	2.055, 3.598
Pre-prog	−0.603.200	−0.996, −0.211	−0.623.209	−1.034, −0.224	−0.719.259	−1.267, −0.245
Age	−0.404.141	−0.679, −0.128	−0.412.146	−0.711, −0.130	−0.508.202	−0.943, −0.155
IQ	0.687.135	0.422, 0.953	0.680.140	0.406, 0.955	0.859.225	0.482, 1.370
MMSE
p			0.974.014	0.942, 0.997	0.973.017	0.934, 0.998
q			0.793.046	0.702, 0.881	0.771.052	0.666, 0.870
ADAS
p			0.815.027	0.762, 0.869	0.809.029	0.752, 0.865
q			0.906.029	0.845, 0.960	0.883.038	0.803, 0.951
CDR-Total
p			0.993.005	0.980, 1.000	0.986.010	0.962, 0.999
q			0.982.017	0.936, 1.000	0.786.142	0.566, 0.996
CDR-SB
p			0.997.003	0.990, 1.000	0.989.008	0.969, 0.999
q			0.834.049	0.732, 0.923	0.664.118	0.504, 0.876

Naive: naive analysis which ignores misclassification and treats y₁ and x₁ as y and x, respectively; M₁: the model assuming conditional independence in both measurements of y and x; M₂: the model assuming conditional dependence in both measurements of y and x; pre-prog: log pre-progression rate; age: standardized age; IQ: standardized premorbid IQ; CI: Credible interval; MMSE: Mini-Mental Status Exam; ADAS: Alzheimers Disease Assessment Scale-Cognitive Subscale; CDR-Total: Clinical Dementia Rating Scale-Total; and CDR-SB: Clinical Dementia Rating Scale-Sum of Boxes.