### GIGAMIND

Folder:
113 Math
File:
113.020.010.10.30 Regression models - Diff between Expo vs Weibull vs Cox

# Difference between Expo vs Weibull vs Cox

These notes reference the equations from 113.020.010.10.20 Regression models - Exponential Distribution, especially the last two with b-naught.

### Exponential

• b-naught is a constant - it is a number
• It doesn't change, there is no time in the function, so it doesn't change over time
• Constant hazard
• This is the same as PH, but not named after it

### Weibull

• b-naught increases/decreases proportionally with time
• b-naught is ln(\alpha) * ln(t) + b-naught
• So you can see that as time gets bigger, the b-naught gets proportionally bigger

### Cox

• b-naught can fluctuate, it can increase/decrease with time, multiple times
• b-naught is ln(h-naught(t))
• Can estimate all the coefficients in the model w/o having to specify the function
• This function is good for effect-size models, doesn't work for predictive models where you want to predict/estimate survival

• Me