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Improving Analysis
Methods for Clustered Randomized Primary Prevention Intervention Trials
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BioEpi
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| Cluster Home | |
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Cluster 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. Current Topics- The current directions of the research is given, along with notes pointing to recent site updates. Dialogues/comments- A summary of updates, running Dialogues, and other documents are given. The updates summarize work on a periodic (usually weekly) basis. Running dialogues are email conversations and discussions about the research. Documents related to the research, but not encorporated into the Outline are given in Documents. Outline-This section contains the main content of the site. An introduction and background is given for the research. Each area of investigation is presented in more detail, with summaries and links of primary descriptive documents. Also included in the outline are some more general areas of investigation that integrate this research to other work. Results- Summaries are given of presentations, un-published documents, and publications Intranet- There is a web-group associated with this research. Information about the site is given. Bibliography- A reference list is given with selected papers/abstracts
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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 Biostatistics and Epidemiology at the School of Public Health and Health Sciences. Send comments or questions about this web site to Webmaster : Oscar Loureiro at oscar@math.umass.edu This page was last modified on October 22, 2003. |