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Dear professor Bliemer,

I am using the model averaging approach, following the example from the Ngene manual (page 132). If I have two models (M1 and M2), and I multiply the efficiency measure for model ‘M1’ by 1.5 in the Ngene syntax, would that mean that the weight I'm giving to M1 is 0.6 and the ...

Many thanks, Professor.

I was indeed having a problem with my CSV file. It's now solved and I was able to run the models.

Thanks also for the suggestion on the draws!

Best wishes,

Pamela.

Dear all,

I am trying to run the code below, in which I have a partial profile design, I am averaging two models, and I am adding interactions in the second model (M2). However, I am getting an error in Negene suggesting contacting ChoiceMetrics by email ("Something went unexpectedly wrong. You ...

Thank you, professor!

Best wishes,

Pamela.

Many thanks, Professor.

One last question about the interactions: I am interested in the statistical significance of the interactions, rather than in the functional form of the parameter estimate of the interaction. Can I, therefore, add an interaction between, say, "cost" and "exp", with "exp" as ...

Dear Michiel,

I run a pilot study using the following attributes and levels:
-yol (years of life), three levels (0.5, 1, 3)
-qol (quality of life), three levels (20, 40, 60)
-exp (patient experience), three levels (0.poor, 1.fair, 2.good)
-size (size population), three levels (50, 5000, 10000 ...

Thank you very much, Michiel!

Dear Michiel,

Thank you very much for your responses.

On your second point, may I ask you why I should not compare both models, and which paper/book would you suggest for me to expand on this?

Thanks again for all your guidance!

Best wishes,

Pamela.

Dear Michiel,

Thank you very much for your prompt and kind response!
Apologies for the late reply; It took me a while to find a design I could work with. I tested them using synthetic data before responding (I simulated different behaviour patterns).

I tried both options, and explanation 2 seems ...

Hi, I have the following design with five attributes (only one categorical, and the rest numerical) and two alternatives:

Design
;alts = progA*, progB*
;rows = 24
;block = 2
;eff = (mnl,d)
;alg = mfederov(candidates = candidate_set_pilot3_10nocost.csv)
;model:
U(progA) = b0[0.000001]
+ byol ...