Table 3 Mixed logit regression analysis

From: Do health professionals value genomic testing? A discrete choice experiment in inherited cardiovascular disease

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         
  1. 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.
  2. AIC akaike information criterion, CI  95% confidence interval,  P p value, SD standard deviation, SE standard error