A dataset involves 9 quantitative predictors and a binary variable, indicating the present or absent of breast cancer.
data(cancer)A data frame with 116 rows and 10 variables:
Age (years)
BMI (kg/m2)
Glucose (mg/dL)
Insulin (<U+00B5>U/mL)
Optimal cut-off value for homeostasis model assessment(HOMA) index of insulin
Leptin (ng/mL)
Adiponectin (<U+00B5>g/mL)
Resistin (ng/mL)
MCP-1(pg/dL)
indicating the presence or absence of breast cancer. 1=Health controls;2=Patients
Patr<U+00ED>cio, M., Pereira, J., Cris<U+00F3>stomo, J., Matafome, P., Gomes, M., Sei<U+00E7>a, R., & Caramelo, F. (2018). Using Resistin, glucose, age and BMI to predict the presence of breast cancer. BMC Cancer, 18(1).