Displaying 2 results from an estimated 2 matches for "weightvar".
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2012 Apr 15
0
correct standard errors (heteroskedasticity) using survey design
Hello all,
I'm hoping someone can help clarify how the survey design method works in
R. I currently have a data set that utilized a complex survey design. The
only thing is that only the weight is provided. Thus, I constructed my
survey design as:
svdes<-svydesign(id=~1, weights=~weightvar, data=dataset)
Then, I want to run an OLS model, so:
fitsurv<-svyglm(y~x1+x2+x3...xk, design=svdes, data=dataset)
But, I want to check if there is evidence of heteroskedasticity. If so, how
would I correct the standard errors? Can the "sandwich" library do this? Are
the standard err...
2012 Aug 10
1
Direct Method Age-Adjustment to Complex Survey Data
...e, rake, and simply multiplying the base weights by
the correct proportions - nothing seems to hit the published numbers on the
nose.
I am trying to replicate any of the following:
the stdize and stdweight parameters from a Stata complex survey
analysis command (like this)
svyset [w= WEIGHTVAR], psu(PSUVAR) strata(STRATAVAR) vce(linearized)
svy: mean VARNAME, stdize(agecat) stdweight(agewt)
the stdvar and stdwgt parameters from a SUDAAN proc descript call
the ESTIMATE statement in a PROC SURVEYREG (used to generate adjusted
means) in SAS version 9.2
I am attempting to...