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Each study investigator also participates in a working group to identify commonly ascertained variables and to recommend specific variables for use in analyses.
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All analyses will use a backward selection approach to ascertain variables that have unique predictive associations with conversion at an initially liberal threshold of p ≤ 0.10.
Therefore, we cannot ascertain variables that would help clinicians target specific patients for testing.
We would like to point out that it is useful to ascertain variables continuously throughout the processes.
However, the administrative data used in this real-world study present challenges of accurately ascertaining variables of interest.
The outcomes of this study suggest that the use of alternative modelling techniques may also have practical value in ascertaining variables of critical import and in streamlining current existing guidelines.
Therefore, we will record gender of both providers and recipients and conduct sub-analyses to ascertain variable uptake, response to the treatment and maintenance of abstinence according to these gender differences.
Co-linearity of all variables was ascertained and for variables that were highly co-linear, the variable with the strongest bivariate association was included in the final regression model.
On multivariable analyses, it was ascertained that variable selection was the same using either forward selection or backward elimination.
After testing the differences in cognition between the groups, to ascertain which variables best predicted apathy scores, all the variables showing significant differences between the two groups in the ANCOVA analyses were entered in a stepwise regression procedure.
A descending procedure was performed to ascertain significant variables (p < 0.05), i.e., variables predictive of infection corresponding to the studied syndrome groups.
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