Michael D. deB. Edwardes
McGill University
8 Papers
76 Citations
Michael D. deB. Edwardes is an academic researcher from McGill University. The author has contributed to research in topics: Kendall's W & Gumbel distribution. The author has an hindex of 5, co-authored 8 publications.
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Papers
Statistical Analysis of Correlated Data Using Generalized Estimating Equations: An Orientation
TL;DR: Small worked examples and one real data set are used to help end-users appreciate the essence of the GEE method and allow nonstatisticians to imagine the calculations involved when the Gee method is applied to more complex multivariate data.
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GEE analysis of negatively correlated binary responses: a caution.
TL;DR: If binary responses have less than binomial variation over clusters, and are modelled using exchangeable correlations, prevailing software implementations may give unreliable results, and using the independence working correlation structure and robust SEs is a more trustworthy alternative.
The generalization of the odds ratio, risk ratio and risk difference to r x k tables.
TL;DR: A generalization of the risk ratio (RR(G)) is proposed following the statistical approaches of Agresti, Goodman and Kruskal, and a known statistic, Somers' d, fulfils the characteristics necessary for a generalized risk difference (RD(G).
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Kendall's τ is equal to the correlation coefficient for the BVE distribution
TL;DR: For the BVE (BiVariate Exponential) distribution, the authors showed that the population Kendall's τ (1948) is equal to the population correlation coefficient, and that the Kendall's t statistic is superior to Pearson's r for estimating BVE correlation.
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