R help - Jan 2012 - sampling weights in package lme4

Dear All
I am trying to include sampling weights in multilavel regression analysis using
packege lme4 using following codes
       
print(fm1 <- lmer(DC~sex+age+smoker+alcohol+fruits(1|setting),
dataset,REML = FALSE), corr = FALSE)
print(fm2 <- lmer(DC~sex+age+smoker+alcohol+fruits(1|setting),
dataset,REML = FALSE), corr = FALSE,weights=sweight)
The problem is both the codes giving me exactly the same
results.is this "weights" not meant for sampling weights?if not, how
can i include sampling weights in lme4?
thanks a lotmasood


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Mohd masood <masood0805 <at> rediffmail.com> writes:
> I am trying to include sampling weights in multilevel regression
> analysis using packege lme4 using following codes
 
> print(fm1 <- lmer(DC~sex+age+smoker+alcohol+fruits+(1|setting), 
> dataset,REML = FALSE), corr = FALSE)
> print(fm2 <- lmer(DC~sex+age+smoker+alcohol+fruits+(1|setting), 
> dataset,REML = FALSE), corr = FALSE,weights=sweight)
> The problem is both the codes giving me exactly the same results.is
> this "weights" not meant for sampling weights?if not, how can i
> include sampling weights in lme4?
  Can you please re-post this on the r-sig-mixed-models <at>
r-project.org mailing
list, preferably with a reproducible example
<http://tinyurl.com/reproducible-000>  ?

  Ben Bolker

On Tue, Jan 24, 2012 at 6:19 PM, Mohd masood <masood0805 at
rediffmail.com> wrote:
>
> Dear All
> I am trying to include sampling weights in multilavel regression analysis
using packege lme4 using following codes
>
> print(fm1 &lt;- lmer(DC~sex+age+smoker+alcohol+fruits(1|setting),
dataset,REML = FALSE), corr = FALSE)
> print(fm2 &lt;- lmer(DC~sex+age+smoker+alcohol+fruits(1|setting),
dataset,REML = FALSE), corr = FALSE,weights=sweight)
> The problem is both the codes&nbsp;giving&nbsp;me exactly the same
results.is this "weights" not meant for sampling weights?if not, how
can i include sampling weights in lme4?
It's not meant for sampling weights.  It's meant for precision
weights.  How best to include sampling weights in mixed models is a
research problem at the moment, but you can rely on getting the wrong
answer if you just use the weights= argument.

          -thomas

-- 
Thomas Lumley
Professor of Biostatistics
University of Auckland