Research
Mixed Models for Finite Populations
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Overview

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.



Topics- The outline of current directions of the research is given, along with the link to some important results, manuscripts and unexplored ideas.

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Unpublished papers-A list of technical reports and papers that are being submitted or revised.

clusterhom

 


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