### Priors for categorical variables

Posted:

**Sat Feb 01, 2020 12:56 am**Hello,

I have two categorical variables, 1 with ordering (side effects: very common, uncommon) and 1 without (injection vs infusion). I just have a few questions about which priors to use.

1. I want to avoid dominant alternative so, have use the * but, the 'route' prior doesn't have an ordering, so I have used 0 priors, will this confuse Ngene? if so should i remove the *?

2. I want to check if i have the right priors for the ordered variable: level 2 has a utility of 0.00003, level 0 have a utility of -0.00001 and level 1 has a utility value of -0.00002

Risk of side-effects levels:

0=very common

1=common

2=uncommon

Thanks for your help,

Tara

I have two categorical variables, 1 with ordering (side effects: very common, uncommon) and 1 without (injection vs infusion). I just have a few questions about which priors to use.

- Code: Select all
`Design`

;alts = alt1*, alt2*

;rows = 12

;eff = (mnl,d)

;model:

u(alt1)= b1[-0.00001]*infectrisk[0.4,0.5,0.8]+b2.dummy[0|0]*route [0,1,2]+b3.dummy[-0.00001|-0.00002]*sideeffect[0,1,2] /

u(alt2) = b1*infectrisk + b2.dummy * route + b3.dummy* sideeffect

$

1. I want to avoid dominant alternative so, have use the * but, the 'route' prior doesn't have an ordering, so I have used 0 priors, will this confuse Ngene? if so should i remove the *?

2. I want to check if i have the right priors for the ordered variable: level 2 has a utility of 0.00003, level 0 have a utility of -0.00001 and level 1 has a utility value of -0.00002

Risk of side-effects levels:

0=very common

1=common

2=uncommon

Thanks for your help,

Tara