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Table 4 Parameter Estimates by Extreme Value AFT Frailty Model

From: Evaluating key predictors of breast cancer through survival: a comparison of AFT frailty models with LASSO, ridge, and elastic net regularization

Covariates

Estimate

Std_Error

CI_Lower

CI_Upper

P_Value

(Intercept)

0.581833

6.876871

− 12.8968

14.0605

9.33E- 01

Age

0.010861

0.008607

− 0.00601

0.02773

2.07E- 01

AgeCAT

− 0.01277

0.220733

− 0.44541

0.419866

9.54E- 01

Recurrent

− 0.03929

0.199472

− 0.43026

0.351671

8.44E- 01

CompetingR

− 0.96684

0.184006

− 1.32749

− 0.60619

1.49E- 07

HER2

− 0.07218

0.593489

− 1.23542

1.091062

9.03E- 01

ER

0.576081

1.017488

− 1.4182

2.570357

5.71E- 01

PR

0.811106

0.601783

− 0.36839

1.990602

1.78E- 01

MSubtype

− 1.37513

1.567856

− 4.44813

1.697865

3.80E- 01

Grade

2.625731

2.784885

− 2.83264

8.084106

3.46E- 01

TypeofBC

0.024606

0.041707

− 0.05714

0.106353

5.55E- 01

Stage

− 0.2911

0.097199

− 0.48161

− 0.10059

2.75E- 03

Metastasis

− 1.20676

0.234459

− 1.6663

− 0.74722

2.65E- 07

LymphNode

− 0.19066

0.082111

− 0.3516

− 0.02972

2.02E- 02

Menopause

− 0.27238

0.201004

− 0.66635

0.121592

1.75E- 01

Ethnicity

0.018273

0.066483

− 0.11203

0.148579

7.83E- 01

Hospitalization

0.261989

0.194462

− 0.11916

0.643135

1.78E- 01

Genetics

2.60561

3.089729

− 3.45026

8.661479

3.99E- 01