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Hi again,

I very much appreciated all of your help with my pilot study! I have completed the pilot, and it was suggested by my colleagues that I analyze the attributes as both linear (continuous) variables and as categorical. I therefore dummy coded all my attributes to code the full DCE design. I ...

Hi Michiel,

I have started my pilot testing, however I realized I would prefer to analyze my binary attribute using effects coding, not dummy. For the binary attribute the No choice should be preferred by participants and will have a positive parameter possibly 0.9 based on initial data from my ...

Hi Michiel,

I have a follow up question- I realized b2 could be dummy coded though it only has 2 levels, 0 for no and 1 for yes (a procedure participants should select against so parameter set to -0.2). Is the following syntax properly coded for this and should I code it as a dummy variable? I also ...

Amazing thank you for all your help!

Hi Michiel,

Thank you again, that code is very helpful. To help my understanding, I want to clarify why there are 2 models. Model2 is required for the rppanel evaluation due to negatives occurring within the matrix, and the SD are not uniformly distributed but rather are fixed?

Also, why did you ...

Thank you Michiel! Your reply was very helpful, I was getting Bayesian mixed up.

Taking your advice into account, I now plan on using a d efficient mnl design with Bayesian estimates for the 2 parameters that have less information in the literature, and fixed priors for the other 3 parameters. When ...

Hi,

I am designing a DCE pilot test and would appreciate your expertise before I run it. The target sample are prostate cancer patients who have been treated with radiotherapy, and the goal is to determine the MRS for short (b4, levels in %) and long (b5, levels in %) term side effects, and chance ...