Bookmark and Share

Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at

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

st: using weights with -svy- commands

From   Jeph Herrin <[email protected]>
To   [email protected]
Subject   st: using weights with -svy- commands
Date   Wed, 14 Mar 2012 11:48:41 -0400


This seems like a question that has been asked & answered before, but I can't find it in the archives.

I have data which was was collected using a stratified survey design (NHANES, which I have been analyzing using -svy- commands.

However, for a random subset of survey respondents, additional data is collected - up to 10080 motion counts collected each minute for up to 7 days. I have summarized these motion counts various ways for each respondent, but since not all respondents have the same reporting period, there is varying degrees of precision - some respondents have only a few thousand counts, some have the full 10k - and most importantly, I have found that the reporting period is associated with some of my key independent variables (in particular, overweight children have shorter reporting periods than normal weight children). So I want to incorporate the different precision of the summary outcome into my regression models.

In most linear regression models I would achieve this by weighting each observation by the inverse of the variance of the dependent variable measurement using -aweights-. However, -svy reg - does not support weights.

My questions are all due to the fact that I am a casual user of complex survey data. Is this because of a theoretical restriction due to the complex designs? Or is it a mechanical problem that I can somehow circumvent? Or is it possible with Stata, only I am overlooking the solution?

*   For searches and help try:

© Copyright 1996–2018 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   Site index