| Re: Multilevel modelling (ML) [message #2059 is a reply to message #2057] |
Tue, 22 April 2014 17:27  |
Reduced-For(u)m
Messages: 292
Registered: March 2013
|
Senior Member |
|
|
Dsisso,
Not sure I can help here, but one basic question:
What are you trying to estimate? The sizes of various geo-socio-economic determinants of vaccination? Or...?
I think it basically comes down to what you think your variables of interest are likely to do in the world.
For instance - a government program that provides a free shot is likely to increase vaccination by exactly 1 (free) shot. An outcome variable of "# of shots received" might be reasonable in that case.
Access to a vaccination clinic might generate a jump from 0 shots to somewhere between 1 and 3. In this case, the multinomial logit-type model might make more sense.
I think you want to consider: a) what is the effect of my treatment/covariate likely to be in terms of increasing the extensive (0 to something non-0) or intensive (increasing # of shots) margin of vaccination; b) is this effect or program likely to last through the full course of vaccinations; and then c) how do I capture that effect with a statistical model.
Not sure if that helped, but that's how I tend to approach these problems.
|
|
|
|
Members
Search
Help
Register
Login
Home
