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Table 3 Parameter estimates and fit statistics of aggregate level models using OLS and WLS regression

From: Rural population’s preferences matter: a value set for the EQ-5D-3L health states for China’s rural population

Variable

Main effects

N3

D1

OLS

WLS

OLS

WLS

OLS

WLS

Coef

SE

Coef

SE

Coef

SE

Coef

SE

Coef

SE

Coef

SE

Constant

0.071

0.007

0.071

0.007

0.067

0.007

0.070

0.007

    

MO2

0.102

0.005

0.100

0.005

0.101

0.005

0.099

0.005

0.167

0.007

0.166

0.007

MO3

0.279

0.007

0.280

0.007

0.275

0.007

0.279

0.007

0.365

0.014

0.370

0.014

SC2

0.102

0.005

0.101

0.005

0.103

0.005

0.101

0.005

0.169

0.007

0.169

0.007

SC3

0.242

0.006

0.244

0.006

0.239

0.007

0.243

0.007

0.330

0.015

0.336

0.015

UA2

0.087

0.006

0.085

0.006

0.086

0.006

0.084

0.006

0.151

0.007

0.150

0.007

UA3

0.222

0.006

0.223

0.006

0.217

0.007

0.222

0.007

0.308

0.013

0.313

0.014

PD2

0.110

0.006

0.110

0.006

0.110

0.006

0.109

0.006

0.175

0.007

0.175

0.007

PD3

0.237

0.006

0.240

0.006

0.232

0.007

0.239

0.007

0.323

0.014

0.329

0.014

AD2

0.075

0.005

0.074

0.005

0.074

0.005

0.073

0.005

0.139

0.009

0.138

0.009

AD3

0.177

0.006

0.180

0.006

0.172

0.007

0.178

0.007

0.262

0.014

0.267

0.014

N3

    

0.016

0.009

0.005§

0.009

    

D1

        

− 0.073

0.013

− 0.077

0.014

I2

        

0.009§

0.017

0.015§

0.018

I2sq

        

− 0.000§

0.003

− 0.000§

0.003

I3

        

− 0.022

0.013

− 0.028

0.013

I3sq

        

0.001§

0.003

0.003§

0.002

Fit statistics

            

 Adjusted R2

0.993

0.995

0.993

0.995

0.999

0.999

 MAE

0.018

0.017

0.017

0.017

0.017

0.017

 RMSE

0.024

0.024

0.024

0.024

0.024

0.023

 No. (of 97) > 0.025

28

29

27

28

27

28

 No. (of 97) > 0.05

2

3

2

3

2

2

  1. P < 0.01 and Heteroskedasticity-robust standard error for all regression coefficients unless otherwise stated; there are no health states that had an MAE greater than 0.1 for all models; OLS, ordinary least square; WLS, weighted least square; Coef, coefficient; SE, standard error; MAE, mean absolute error; RMSE, root mean squared error; 0.01 ≤ P ≤ 0.05; 0.05 < P ≤ 0.1; §P > 0.1