Bookmark and Share

Notice: On March 31, it was announced that Statalist is moving from an email list to a forum. The old list will shut down on April 23, and its replacement, is already up and running.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

st: straticying by variable in complex survey design

From   [redacted] <[redacted]>
Subject   st: straticying by variable in complex survey design
Date   Tue, 27 Sep 2011 13:54:17 -0400

I'm conducting some analysis (logistic regression) using complex survey
design (NHIS and SCSHCN).
I want to break down my ethnicity variable by income and see the subgroup
analysis on my outcome variable. Both variables are categorical (income
divided into ratios of the federal poverty line; FPL). For example, I want
to see if African-Americans below the poverty line differ from those making
2x the FPL. Would the best way to do this is manually create these groups
(recode ethnicity by income levels) and run the analysis or is there a
better/more efficient way of getting at this?

*   For searches and help try:

© Copyright 1996–2016 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   Site index