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Mixed Models for Finite Populations
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BioEpi
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Home 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 Unpublished papers-A list of technical reports and papers that are being submitted or revised.
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Copyright
2000 University of Massachusetts, Amherst. This is a page at the University of Massachusetts Amherst Campus. Produced and maintained in the Dept. of Public Health, Division of Biostatistics and Epidemiology at the School of Public Health and Health Sciences. Send comments or questions about this web site to Webmaster : Ed Stanek at stanek@schoolph.umass.edu This page was last modified on August 19, 2007. |