Table 3 Mixed logit regression analysis

Attribute		Β-coefficient	SE	Lower CI	Upper CI	P	Willingness-to-pay	Lower CI	Upper CI
Random parameters
ASC_WGS	Mean	3.194	2.700	−2.097	8.486	0.237	£486.27	−£198.45	£1170.98
	SD	0.386	0.758	−1.099	1.871	0.610	–	–	–
ASC_PANEL	Mean	4.851	2.071	0.791	8.911	0.019	£738.52	£300.39	£1176.65
	SD	4.254	1.196	1.910	6.599	0.000	–	–	–
PATHOGENIC	Mean	0.768	0.238	0.301	1.235	0.001	£116.90	£99.14	£134.65
	SD	0.797	0.290	0.229	1.365	0.006	–	–	–
UNKNOWN	Mean	−0.213	0.083	−0.375	−0.050	0.010	−£32.38	−£48.22	−£16.53
	SD	0.304	0.110	0.087	0.520	0.006	–	–	–
COST	Mean	−0.007	0.002	−0.011	−0.002	0.003	–	–	–
	SD	0.015	0.005	0.005	0.025	0.003	–	–	–
Fixed parameters
ASC_WES	Mean	5.879	2.944	0.109	11.649	0.046	£894.94	£280.22	£1509.66
COUNSEL	Mean	−0.097	0.043	−0.181	−0.012	0.025	−£14.72	−£24.30	−£5.15
SECONDARY	Mean	−0.052	0.474	−0.981	0.876	0.912	−£7.95	−£148.17	£132.26
McFadden’s R² (pseudo R²)	0.24
AIC	366.76
Log-likelihood	−160.38

Attribute descriptions: ASC = alternative-specific constant for whole genome sequencing, whole exome sequencing or the cardiac panel test; PATHOGENIC = ability of the test to identify pathogenic mutations; UNKNOWN = ability of the test to identify variants of unknown significance; COST = test cost; COUNSEL = quantity of counselling received; SECONDARY = disclosure of secondary findings.
AIC akaike information criterion, CI 95% confidence interval, P p value, SD standard deviation, SE standard error

Quick links

Search