Table 3 Mixed multinomial logit (MIXL) model with continuous attribute levels

Full sample ( n  = 555)

Mean

Standard deviation

Coefficient

Standard error

P-value

Coefficient

Standard error

P-value

ASC: Test A

0.305

0.085

 < 0.001

1.217

0.119

 < 0.001

Attributes

  Cost (per US$1 increase)

-0.133

0.010

 < 0.001

0.108

0.010

 < 0.001

  Sensitivity (per 1% increase)

0.221

0.017

 < 0.001

0.223

0.019

 < 0.001

  Specificity (per 1% increase)

0.115

0.012

 < 0.001

-0.039

0.027

0.150

  Time (from 20 to 60 min)

-0.173

0.065

0.008

0.519

0.145

 < 0.001

Rational responders ( n  = 477)

Mean

Standard deviation

Coefficient

Standard error

P-value

Coefficient

Standard error

P-value

ASC: Test A

-0.026

0.085

0.758

0.928

0.128

 < 0.001

Attributes

  Cost (per US$1 increase)

-0.154

0.012

 < 0.001

0.107

0.012

 < 0.001

  Sensitivity (per 1% increase)

0.269

0.021

 < 0.001

0.241

0.021

 < 0.001

  Specificity (per 1% increase)

0.132

0.014

 < 0.001

0.059

0.027

0.005

  Time (from 20 to 60 min)

-0.174

0.073

0.042

0.603

0.144

 < 0.001