Calibrating Parameters for Microsimulation Disease Models
Background: Calibration (estimation of model parameters) compares model outcomes with observed outcomes and explores possible model parameter values to identify the set of values that provides the best fit to the data. The goodness-of-fit (GOF) criterion quantifies the difference between model and o...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Journal Article |
| Published: |
Sage Publications, Inc.
2015
|
| Online Access: | http://hdl.handle.net/20.500.11937/50157 |