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Table 2 Initial logistic regression model fit. Significant variables are denoted by ** (significant at 5%) or *** (significant at 1%).

From: Mastectomy or breast conserving surgery? Factors affecting type of surgical treatment for breast cancer – a classification tree approach

Term

Coefficient

Standard Error

t-value

Significance (1% or 5%)

Intercept

-0.471

0.162

-2.905

***

Tumor Size T1 (baseline)

    

Tumor Size T2

-0.500

0.045

-11.017

***

Tumor Size T3

-0.378

0.083

-4.576

***

Subject Age under 40 (baseline)

    

Subject Age 40–60

-0.044

0.080

-0.547

 

Subject Age ≥ 60

-0.144

0.035

-4.058

***

Area of Residence – Metro (baseline)

    

Area of Residence – Rural

-0.210

0.058

-3.610

***

Area of Residence – Remote

-0.101

0.062

-1.638

 

Tumor Histology – Ductal (baseline)

    

Tumor Histology – Lobular

-0.151

0.064

-2.343

**

Tumor Histology – Other

0.175

0.056

3.112

***

Lymph Node Negative (N-) (baseline)

    

Lymph Node Positive, 1–3 nodes

-0.216

0.049

-4.416

***

Lymph Node Negative, 4 or more nodes

-0.189

0.041

-4.625

***

Country of birth – Australia/NZ (baseline)

    

Country of birth – Western Europe

0.039

0.050

0.797

 

Country of birth – Other

-0.046

0.046

-1.011

 

Payment class – Public/Medicare (baseline)

    

Payment class – Private, not insured

0.045

0.122

0.366

 

Payment class – Private, insured

0.024

0.046

0.518

 

Payment class – Ineligible

-0.153

0.088

-1.735

 

Marital Status – Married/De-Factor (baseline)

    

Marital Status – Other

0.028

0.048

0.578