This preview shows page 1. Sign up to view the full content.
Unformatted text preview: Hazard function h (t ) = chance of event at time t for the subset of people at risk. 5 Proportional Hazards Regression Proportional hazards regression (D.R Cox, 1972) assumes that different groups
have proportional hazard functions: for two groups A and B, there is a constant
proportion r such that
h A (t ) = r · h B (t ).
Since hazards are chances, this means that the ratio of the hazard functions
r= h A (t )
h B (t ) can be interpreted as a relative risk or relative rate.
Proportional hazards regression assumes that the two groups have constant
relative risk over time. 6 Proportional hazards regression makes several assumptions:
1. There is a baseline hazard function h 0(t ) common to all individuals in all the
study groups. 2. Study group j has a hazard function h j (t ) that is a positive multiple of the
h j (t ) = r j h 0(t ).
Each group has its own hazard ratio r j . For reference group, r = 1.
3. Explanatory variables act only on the hazard ratios (relative risks) r j . They d...
View Full Document
- Fall '11