Explore gender-LVDD interaction
You wonder if the survival risk for heart patients with LVDD (Left Ventricular Diastolic Dysfunction) is higher or lower among female patients. A good way to analyze this is with an interaction term between gender_f (1 if the subject is female, 0 otherwise) and lvdd.
You are going to fit the Weibull AFT model with gender_f*lvdd and interpret their coefficients. The DataFrame you will use is called heart_patients.
The pandas and numpy packages are loaded as pd and np, the WeibullAFTFitter class has been imported for you, and a WeibullAFTFitter instance aft has been created.
This exercise is part of the course
Survival Analysis in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Fit custom model
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