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Table 2 Regression model statistics with EQ-5D weights as the dependent variable

From: Mapping health outcome measures from a stroke registry to EQ-5D weights

Regression model

OLS

Tobit

CLAD

 

Coef.

95% CI

Coef.

95% CI

Coef.

95% CI

  

Lower

Upper

 

Lower

Upper

 

Lower

Upper

Constant

0.902

0.843

0.961

1.068

0.970

1.167

1.000

0.997

1.000

Toilet assistance

−0.151

−0.364

0.062

−0.138

−0.325

0.048

−0.179

−0.418

0.061

Dressing assistance

−0.187

−0.301

−0.072

−0.218

−0.362

−0.074

−0.247

−0.446

−0.048

Indoor mobility only

−0.191

−0.266

−0.116

−0.230

−0.344

−0.117

−0.152

−0.240

−0.064

No mobility

−0.363

−0.570

−0.156

−0.393

−0.580

−0.206

−0.281

−0.587

0.025

General health fairly good

−0.055

−0.126

0.016

−0.129

−0.233

−0.024

−0.121

−0.229

−0.014

General health fairly bad

−0.155

−0.263

−0.046

−0.233

−0.367

−0.099

−0.237

−0.367

−0.107

General health bad

−0.246

−0.463

−0.028

−0.303

−0.529

−0.077

−0.370

−0.651

−0.088

Moody sometimes

−0.074

−0.131

−0.017

−0.137

−0.215

−0.060

−0.107

−0.255

0.011

Moody often

−0.208

−0.354

−0.062

−0.274

−0.413

−0.134

−0.223

−0.400

−0.045

Moody always

−0.327

−0.503

−0.150

−0.387

−0.610

−0.163

−0.471

−0.788

−0.154

Proxy response

−0.132

−0.271

0.007

−0.141

−0.280

−0.001

−0.032

−0.266

0.202

R2 / Pseudo R2

0.724

  

0.657

  

0.486

  
  1. Note: OLS = ordinary least square; CLAD = censored least absolute deviation; Coef = coefficient; CI = confidence interval.