Bootstrap in combination with PRIOR?

Dear nmusers, Merry Holiday! (you may change the variable 'Holiday' to an arbitrary value) First, accept my humble excuse - I can't share any code for this example. I'm assessing a model where $PRIOR is used to stabilize the fit of an 'old' model to sparse data using NONMEM. It seems to be the only way forward. Using the final model the Applicant has then performed a non-parametric bootstrap (N=1000) to investigate i.a. robustness of the model parameter estimates. >From a non-scientific literature search (Google Scholar "NONMEM + PRIOR + >Bootstrap") some examples show up where Bootstrap and PRIOR has been combined. I'm curious about if any nm-user has investigated how much and in what way the prior distribution of parameters affect the bootstrap estimates (eg. 2.5th, 50th and 97.5th percentiles)? I would guess that the stronger the prior the more it would affect the outcome of a bootstrap. Or is that a misconception? Cheers Jacob [cid:[email protected]] Medical Products Agency Jacob Brogren Assessor Efficacy and Safety 2 P.O. Box 26, SE-751 03 Uppsala, Sweden Visiting address: Dag Hammarskjölds väg 42 Phone: + 46 (0) 18 17 47 64, switchboard: + 46 (0) 18 17 46 00 Mobile: + 46 (0) xxx xx xx, Fax: + 46 (0) 18 54 85 66 http://www.lakemedelsverket.se <<inline: image003.jpg>>