5/2020: Note that the original article from 2017 described how to create a Partitioned Survival Analysis (PartSA) model within the existing Markov structure. This is no longer necessary as we now support PartSA models as a new model type. For more information, go to the Partitioned Survival Analysis page on our website.
Partitioned Survival Analysis (PartSA) has been used often in the context of evaluating oncology treatments. PartSA models differ from state progression models in an important way. For detail description of PartSA you can refer to the following article:
The older example models which use TreeAge Pro 2017 are no longer relevant, since July 2019 PartSA implementation of TreeAge uses differential equation solver for precise area under the curve calculations and Markov cycle concepts are actually detracting from the continuous nature of area and reward calculations. The new PartSA functionality does support number of event and state entry/exit rewards, which support various innovative extensions to building PartSA models. The fundamental concept to keep in mind in building PartSA models is the time unit used for expressing the survival/hazard functions and the appropriate reward per unit time. Please refer to TreeAge Pro help documentation and example models for detail explanations.
Only comments referring to the new PartSA functionality have been retained below.