STAGED CLINICAL TREAMENT
MICROSIMULATION FOR HEALTH SCIENCES
Within the framework of health sciences, microsimulation models are computer models that operate at the level of the individual behavioral entity, such as a person, family, or firm and try to determine policy or generate aggregate knowledge for health related decisions at a wider level.
Rutter and others succinctly define it:
“Microsimulation models for health outcomes simulate individual event histories associated with key components of a disease process; these simulated life histories can be aggregated to estimate population-level effects of treatment on disease outcomes and the comparative effectiveness of treatments.” 
An example such as the national usage of a certain specific health treatment can be exemplified here using microsimulation techniques. In this case, we build a model of how the behavior of the individual patient can be extrapolated to decisions based, for example, at a national scale.
A certain health treatment is under probabilistic assessment. Researchers want to know whether potential patients would engage on a certain treatment along a 6 month period given a certain treatment cost. There is uncertainty upon whether, after treatment is applied, the patient will eventually feel better or improve his/her health. Several quantitative assumptions have to be made:
Carolyn M. Rutter, Alan Zaslavsky, and Eric Feuer