1988
DOI: 10.2307/2531930
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Applied Statistics: Analysis of Variance and Regression.

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Cited by 178 publications
(176 citation statements)
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“…Finally, multipleregression analyses were used to simultaneously assess the relative strength of the associations between significant risk variables and carotid artery atherosclerosis extent, with grouping variables added to account for the effects of OC treatment. 28 Social status and regional adiposity were entered as continuous variables in these analyses. All bar graphs and the table depict the untransformed mean values±SEM.…”
Section: Discussionmentioning
confidence: 99%
“…Finally, multipleregression analyses were used to simultaneously assess the relative strength of the associations between significant risk variables and carotid artery atherosclerosis extent, with grouping variables added to account for the effects of OC treatment. 28 Social status and regional adiposity were entered as continuous variables in these analyses. All bar graphs and the table depict the untransformed mean values±SEM.…”
Section: Discussionmentioning
confidence: 99%
“…The possibility that misleading results can be caused by only a few taxa should also be considered. Extreme values can disproportionately influence the slope of regressions (Dunn and Clarke 1987), and so they may especially influence the results of the orientation test in the last step of our testing hierarchy. One simple expedient is to determine whether the neutral model is still rejected after removing particular taxa from the data set, especially in cases where selection is known or suspected to have acted on those few taxa.…”
Section: Methodological Considerationsmentioning
confidence: 99%
“…The model assumptions (linearity, homogeneity of variance, normality, and independence of residuals) were tested following procedures outlined in Krzanowski (1998). In addition, the Shapiro-Wilk W statistic (Dunn and Clark 1974) was used to test residuals for normality and was assessed at the 0.05 level of significance. Outliers were distinguished with the mean shift outlier model: the largest absolute studentized residual was tested with the t distribution and the Bonferroni correction at the 0.10 level of significance (Fox 1997).…”
Section: Analysis Of the Interannual Variation In Abundance Of Jellyfmentioning
confidence: 99%