Exact logistic models for nested binary data

Steven Troxler, Trent Lalonde, Jeffrey R. Wilson
<span title="2011-01-13">2011</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6c6ulvjkkvgbhburvxae2cigoy" style="color: black;">Statistics in Medicine</a> </i> &nbsp;
The use of logistic models for independent binary data has relied first on asymptotic theory and later on exact distributions for small samples. However, the use of logistic models for dependent analysis based on exact analysis is not as common. Moreover attention is usually given to onestage clustering. In this paper we extend the exact techniques to address hypothesis testing (estimation is not addressed) for data with second-stage and probably higher levels of clustering. The methods are
more &raquo; ... nstrated through a somewhat generic example using C++ program.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/sim.4157">doi:10.1002/sim.4157</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/21432880">pmid:21432880</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3103761/">pmcid:PMC3103761</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vwl4ac4vgbcoxisiiymvwxbsla">fatcat:vwl4ac4vgbcoxisiiymvwxbsla</a> </span>
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