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Yes, I use the same price levels in the estimation.
I defined three binary variables for MP variable: MP_low (when MP=1), MP_med (when MP = 2), and MP_high(when MP=3).

Could you please explain how you got 99% of respondents to choose the opt-out based on the specified priors?

Thanks,

Wei

Thanks for your information, Michiel!

I checked the opt-out rate. The highest rate is 45% and lowest rate is 3% per choice task. I used OOD design (code is shown below) for pilot study and the priors are from the mnl result of pilot study.

Is there any issue for the OOD design?

Thanks for your ...

Dear Michiel,

Hope everything goes well for you!

I am generating a Bayesian design (the code is below). The D error of the Bayesian mean is 9.99. Is it too high? I know the lower D error is better. What is your thumb rule of D error for Bayesian design? Is there any way to decrease the D error ...

Thanks so much, Michiel!

Hi Michiel,
I used below codes to run an efficient design and used it to do a pilot study. After I ran MNL, I found that the price coefficient was negative but not significant. Do you think I can use the coefficient of price as a prior to run the Bayesian design even if it is not significant? If I ...

Thanks so much, Michiel!!!!!!!!!!

Michiel,

Thanks for quick response, and I really appreciate your detail explanation. Could you also share how do you set up the level range? exact level +/- 1( eg. (4-1, 4+1)? Is there any criterion for sufficient attribute level?

Wei

Michiel,
Thanks so much for your help.
The follow up questions:
1. Is default swapping algorithm better than modified Federov since swapping will give balance design?
2. You suggest add 3-5 to get level balance. Do you think 3 will better than a range eg. 3-5? Should I use a single number (eg. 3 ...

Thanks so much Michiel. Please see full Ngene syntax below:
Design;
;alts = alt1*,alt2*,base
;rows = 12
;block = 2
;eff = (mnl,d)
;alg = mfederov
;cond:
if(alt1.survival * alt1.tree > alt2.survival * alt2.tree, alt1.cost > alt2.cost),
?if(alt1.survival * alt1.tree = alt2.survival * alt2.tree, alt1 ...

Dear Michiel,

I am trying to add two constraints in my design. I would like that cost in alternative 1 is larger than cost in alternative 2 when the value of attribute survival multiplying attribute tree in alternative 1 is larger than the value in alternative 2. I use the codes below to set up ...