A Comparison between Cure Model and Recursive Partitioning: A Retrospective Cohort Study of Iranian Female with Breast Cancer
Table 1
Results of Logistic-Weibull mixture cure model fitting on breast cancer patients’ database.
Estimate
Standard error
95% confidence interval
value
Lower
Upper
Logistic part of cure model
Intercept
−0.08
0.58
−1.22
1.05
0.89
Tumor size
0.39
0.19
0.02
0.77
0.04
Number of involved nodes
0.05
0.09
−0.11
0.22
0.53
Weibull part of cure model
Scale
7.99
0.20
7.60
8.38
<0.05
Shape
0.62
0.04
0.54
0.70
<0.05
PR+
0.99
0.26
0.49
1.50
<0.05
ER+
−0.46
0.24
0.05
−0.93
0.05
HER2+
0.44
0.22
0.01
0.87
0.04
Radiotherapy
−0.43
0.21
−0.85
−0.01
0.05
AIC of cure model
3759.0
PR+: being progesterone receptor positive breast cancer patient; ER+: being estrogen receptor positive breast cancer patient; HER2+: being epidermal growth factor receptor-2 positive breast cancer patient.
