Sensitivity analysis

We can never be certain that our assumptions about missing data are correct, so we need to do different analyses that make different assumptions, to see how much the result changes. This is known as 'sensitivity analysis'.

Our work in this area primarily focuses on anchoring our assumptions to experts' opinions and how to elicit these opinions, and basing assumptions about what missing data would have looked like around observed data from people randomised to different arms.