Change dummy/effects coded omitted parameter value
Posted: Wed Jan 06, 2021 6:42 am
Hi there,
On page 112 of the Ngene Manual (version 1.2.0), there is a quote "Example syntax is presented below for the color example, where the first color level has been assigned a prior parameter value of -0.15, the second 0.45 and the final omitted level, a value of zero."
The syntax described is:
U(alt1) = color.dummy[-0.15|0.45] * color
Is it possible to recode the 'final omitted level' to be 1 instead of 0?
The reason I want to do this is that I am using priors from health economics DCEs that are scaled from 0 (worst possible state) to 1 (best possible state).
This is a made up example but let's say I have a pain attribute with 3 levels that represent severe pain, moderate pain, no pain:
Pain.d[0.76 | 0.87]*Pain[0,1,2]
It then assumes that my level 2 (no pain) is 0, which is quite far from the truth (it's probably close to 1).
On page 112 of the Ngene Manual (version 1.2.0), there is a quote "Example syntax is presented below for the color example, where the first color level has been assigned a prior parameter value of -0.15, the second 0.45 and the final omitted level, a value of zero."
The syntax described is:
U(alt1) = color.dummy[-0.15|0.45] * color
Is it possible to recode the 'final omitted level' to be 1 instead of 0?
The reason I want to do this is that I am using priors from health economics DCEs that are scaled from 0 (worst possible state) to 1 (best possible state).
This is a made up example but let's say I have a pain attribute with 3 levels that represent severe pain, moderate pain, no pain:
Pain.d[0.76 | 0.87]*Pain[0,1,2]
It then assumes that my level 2 (no pain) is 0, which is quite far from the truth (it's probably close to 1).