What is it about?
Sensitivity analysis is critical to gauge the relevance and plausibility of mathematical or statistical models. Yet sensitivity analysis is either overlooked or performed unsatisfactorily. In practice most sensitivity analyses are made as to 'tickle' the potential uncertainty of the model prediction, instead of probing it thoroughly. Hence it would not off the mark to say that most published sensitivity analysis are false.
Why is it important?
A modelling work without a sensitivity analysis is like an orthopedic diagnosis without an X-ray.
The following have contributed to this page: Professor Andrea Saltelli