Wednesday, July 02, 2008

20 pager

20 pager (and submit it to the AAPI Nexus)

  • Draft Deadline: July 31
  • Summer/Fall 2008 AAPI Nexus
  • Requirement: Manuscript length: Articles must not exceed 8000 words (including notes) or 20 pages (double spaced) inclusive of charts, graphs, notes and references.

Format: University of Chicago Manual of Style, 14th Edition.

More results and discussion

1 demographic table, 1 sub-analysis on AAPIs

(regression analysis controlling for the demographic differences, such as age and gender)

Tuesday, July 01, 2008

2nd wave submission for confidential data

  • Errors in previous saved file -- no format saved --> use original file

Monday, March 10, 2008

Why is observational studies still necessary?

http://www.bmj.com/cgi/content/full/bmj%3B312/7040/1215?eaf

Randomized controlled trials


Zelen, Wennberg, Intent to treat design

Bias

Bias and causal associations in observational research

Reliability and Validity

http://webs.wofford.edu/reidak/Psych%20200/Reliability%20and%20validity.pdf

Monday, February 04, 2008

Process of writing the manuscript

  • Word Template (done)
    • Formats: Fonts, Margin, Headings
    • Outlines
  • Research methods
    • Subsections:
      • Read relevant examples
  • Literature review

Tuesday, January 29, 2008

Research to Policy

Key words: research will inform the policy makers, transformational research

Monday, January 28, 2008

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

DAC datasets

  • Question 1: Are they remotely available?
    • Source files at UCLA Data Access Center (the “DAC”)
      • Secure site at UCLA Center for Health Policy Research
      • All CHIS data items except direct identifiers available, including:
        • Detailed demographics
        • Small geographic identifiers
        • Highly sensitive items (e.g., sexual orientation, ER visits due to mental health)
      • On-site or remote access available
      • More than 80 researchers have used or are using the DAC
  • Question 2: Are the data structure the same as the PUF or AskCHIS?
    • AskCHIS uses design information in the inference while PUF is supported by the replicate weights.
  • 2008 Data Users Conference Postcard - N C H S

Thursday, January 24, 2008

Evidence-based Public Health

Evidence-Based Practice for Public Health
http://library.umassmed.edu/ebpph/

AAPI MRP grant

  • Joel as the director of CFCH has previous experience and expertise in AAPI related issues
  • GSR in the DrPH program has a focus of translational research
  • Previous work and extended focus, need for funding data use
  • Mental health as critical issue and the policy brief would bring attention the the neglected issue