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In this procedure the variable to be excluded was again selected based on AIC and it was actually excluded based on an F-test.
However, no correlation coefficient was 0.9 or above for a variable to be excluded.
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Documentation on important variables, like occupational status, educational status, Apgar score, blood loss, post delivery hematocrit and medical illness was not good which has made these variables to be excluded from analysis.
This would eliminate clones derived from other microbial genomes, but it would also exclude clones containing only a CRISPR array since the viritope are variable enough to be excluded from the above cut-off.
The other variable had to be excluded due to multicollinearity.
Correlation tests confirmed the existence of weak associations between independent variables in a given group (Pearson's correlation coefficient range 0.1-0.4 0.1-0.4no variables needing to be excluded due to collinearity.
No variables needed to be excluded due to collinearity.
The variables selected to be excluded were not expected to have any prognostic value or alternatively were known to be highly inter-correlated with other scales, thereby not contributing to the model.
Correlation tests confirmed the existence of weak associations between items in a given group (Pearson's correlation coefficient range 0.1-0.4 0.1-0.4twithariables needing twobe excluded due to collinearity; consumption of tea (correlated with drinking sugar with tea; r = 0.44) and DMFT>0 (correlated with DT>; r = 0.89).
No variables were deemed to be excluded inappropriately, due to the grouping of similar variables.
Both the variable 'avoidance' and 'emotional reaction' were selected; the variable 'acceptance' was excluded due to a significant multivariate kurtosis.
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CEO of Professional Science Editing for Scientists @ prosciediting.com