Explains statistical methods for estimating means in small domains or subpopulations, focusing on smoothing direct estimates using models like Fay-Herriot.
Explores the asymptotic behavior of parameter estimates in linear mixed models, focusing on the loglikelihood as a quadratic form in Gaussian variables.
Announcing a preprint for the svylme package, introducing the svy2lme function for fitting linear mixed models to complex survey data.
A technical tutorial on fitting linear mixed models using pairwise pseudolikelihood in R with the svylme package, using educational survey data.
A technical exploration of using pairwise likelihood in linear mixed models with complex sampling, comparing results from svylme and lme4 packages.
Explores challenges in applying weighted penalized least squares to linear mixed models for survey data, highlighting estimation issues.
An update on the svy2lme R package for fitting linear mixed models with complex survey data, including a comparison with Stata.
Explores using pairwise composite likelihood to fit mixed models when survey sampling and model random-effect structures differ, using genetic analysis as an example.
