Continuous Hazard Event Models
Hazard Models combine combine continuous risk with state-event model structure.
- Markov Models represent disease progression with state-event patient pathways with transitions driven by using probabilities over discrete cycles
- Partitioned Survival Models derive state membership from survival curves based on cumulative continuous risk.
- Hazard Models offer a new approach – combining a state-transition structure with continuous-time hazards to model changing and competing event risks.
Now you can apply distinct event risks directly from hazard functions with the flexibility of a Markov-like patient pathway structure. These risks can be represented in several forms, including fitted survival distributions, conversion from survival to hazard functions.
