Mixed Models for Finite Populations
The thrust of this research is to improve understanding of estimation
of realized random effects. Such estimates are used for domain means,
subject effects, and cluster effects. Understanding and estimating these
effects is important in analysis of cluster randomized trials. This
research is pursued by using superpopulation sampling prediction theory
based on a superpopulation generated from a random permutation probabilities.
Software/Simulation- A list of software (in Stata, SAS, and R) used for simulation studies of estimators/predictors and implementing the estimation procedures.
Meetings- Each year, two meetings are held for this project. Information about the meetings are given along with the the contents of the meetings.
Funding- This section includes the information of ongoing grants and past grants.
Publications-A list of refereed publications steming from this research.
Presentations- A list of presentations based on the research.
Unpublished papers-A list of technical reports and papers that are being submitted or revised.
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