Displaying 5 results from an estimated 5 matches for "lavang".
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lavan
2004 May 20
1
mixed models for analyzing survey data with unequal selec tion probability
...r, C. J. , Holmes, D. J. , Goldstein, H. ,
and Rasbash, J. (1998), ``Weighting for unequal selection probabilities in
multilevel models (Disc: p41-56)'', Journal of the Royal Statistical
Society, Series B, Methodological, 60 , 23-40 >
which refers back to:
<29. Pfeffermann, D. , and LaVange, L. (1989), ``Regression models for
stratified multi-stage cluster samples'', Analysis of Complex Surveys,
237-260 >
If you don't like statistical papers, then see section 4.5 of <8. Korn,
Edward Lee , and Graubard, Barry I. (1999), ``Analysis of health surveys'',
John...
2004 May 07
1
sampling weights for lme
Dear All,
I have a complex survey data with observations having differing
probabilities of selection into the sample. I would like to run a
linear mixed effects model and also to use weighting that takes this
into consideration. As far as I know, however, the weighting option for
the lme command from nlme package (or glmmPQL from MASS, for that
matter) is related to heteroscedasticity. Is there a
2007 Apr 04
3
Power analysis and mixed model
Un texte encapsul? et encod? dans un jeu de caract?res inconnu a ?t? nettoy?...
Nom : non disponible
Url : https://stat.ethz.ch/pipermail/r-help/attachments/20070404/0f61f54a/attachment.pl
2004 May 21
0
[Fwd: Re: mixed models for analyzing survey data with unequal selection probability]
...gt;and Rasbash, J. (1998), ``Weighting for unequal selection probabilities in
>>multilevel models (Disc: p41-56)'', Journal of the Royal Statistical
>>Society, Series B, Methodological, 60 , 23-40 >
>>
>>which refers back to:
>><29. Pfeffermann, D. , and LaVange, L. (1989), ``Regression models for
>>stratified multi-stage cluster samples'', Analysis of Complex Surveys,
>>237-260 >
>>
>>If you don't like statistical papers, then see section 4.5 of <8. Korn,
>>Edward Lee , and Graubard, Barry I. (1999), ``An...
2004 Aug 26
5
GLMM
I am trying to use the LME package to run a multilevel logistic model
using the following code:
------------------------------------------------------------------------
-------------------------------------------
Model1 = GLMM(WEAP ~ TSRAT2 , random = ~1 | GROUP , family = binomial,
na.action = na.omit )
------------------------------------------------------------------------