I am trying to conduct a sensitivity analysis for my glm with gamma distribution model to estimate the impact of a disease on cost. I would like to conduct a sensitivity analysis to address the measurement error (misclassification) of the disease. So far, the best way that I can do is to use parametric bootstrapping and do monte carlo simulation. However, I can't find a good way to conduct a parametric bootstrapping with probability of the disease that i obtained from other literature.
Can anyone help me how I can approach this? Is there any good reference that I can look into? I do understand the concept, but need a very thorough technical assisstance.
Thanks.
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