Objectives from last meeting

• Complete the application
• Human subject
• CV (short and long)
• Variable list
• Updated research description
• Analysis plan
  
• More literature /significance
• Application for the grant
• Prospectus
  

Hi Diana,

I'll re-write the application form and research proposal to incorporate
these changes and also more literature reviews. It might take a couple of
days, so I'm not going to send you the documents today.
The next review committee will be held 2 weeks from today.
I think we can take our time to catch that one.

I'll try to organize our analytic strategies. The attached is the document
from yesterday.

Don

> I think they want you to check off the needed variables in the table on
> the
> DAC website -- I think I have that... Yes. I've attached it. The yellow
> highlighting is mine, to indicated suppressed/confidential variables. I
> think you should be able to do this pretty easily from the list of
> variables
> you gave me today.
>
> Bummer about the not getting a file. Maybe we should strategize about
> which
> analyses you should do first so that (1) we're not held up and (2) when/if
> we get to give them code to run, we have a good idea of all the stuff we
> want. Can you send me the variable/analysis list you gave me today
> electronically? Or, better yet, outline the analysis steps you're going to
> take in what order -- e.g.,:
>
>         1. Descriptive statistics of all variables
>                 - (list the variables)
>
>         2. Bivariate tables of all above with the following column/outcome
> variables:
>                 - Kessler score
>                 - Self reported need for MH services
>                 - (list the rest of your desired dependent / outcome
> variables here)
>                 - (state what you will be looking for in these tables? E.g.,
> confounders, collinear variables, time dependent variables, funky sample
> sizes, etc.?)
>
>
>         3. Multivariate analyses with outcome variables as in #2
>                 - (for each outcome, list the independent / covariates you
> anticipate being in the model; this may or may not be the same for all
> outcomes)

DAC application
Description of the research.doc