Skip to main content

Table 7 Coefficient estimates of ordered probit regression: Model 5

From: Prediction of the SF-6D utility score from Lung cancer FACT-L: a mapping study in China

Variable

SF-6D dimensions

ย 

Physical functioning

Role

limitation

Social functioning

Pain

Mental health

Vitality

PWB

-0.10035

0.04258

0.02495

0.09956

0.14086

-0.11093

SWB

-0.08415

-0.11853

-0.06716

0.01935

-0.07695

-0.16562*

EWB

0.19117*

0.07062

0.04289

0.03117

-0.28455**

-0.05456

FWB

-0.10340*

-0.15476**

-0.09566*

0.00054

0.02716

-0.07315

LCS

0.39364**

0.07531

0.04314

0.06599

-0.01363

0.11623

Dimension squared

ย ย ย ย ย ย 

PWB squared

-0.00187

-0.00533*

-0.00529*

-0.00611***

-0.00397*

-0.00112

SWB squared

0.00243

0.00319

0.00138

-0.00028

0.00037

0.00411*

EWB squared

-0.00433

-0.00082

-0.00072

0.00001

0.00308

-0.00015

FWB squared

0.00040

0.00259

0.00038

-0.00117

-0.00148

0.00010

LCS squared

-0.00909**

-0.00205

-0.00116

-0.00245

-0.00078

-0.00508

Age

0.00696

0.00513

0.00562

0.00101

-0.00865

0.00099

Gender

-0.33676***

-0.07934

-0.08691

-0.05482

0.01211

0.09509

/cut1

-1.03870

-3.31164

-4.07685

-1.03600

-6.57599

-7.42327

/cut2

0.15058

-2.27073

-2.83700

-0.39104

-4.49802

-4.80170

/cut3

0.84777

-1.16103

-2.02446

1.04159

-3.12214

-3.77475

/cut4

1.75682

ย 

-1.08890

1.85376

-1.84889

-2.11280

/cut5

3.01388

ย ย 

2.54350

ย ย 
  1. *p<0.05, **p<0.01, ***p<0.001