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Most statistical packages provide further statistics that may be used to measure the usefulness of the model and that are similar to the coefficient of determination (R) in linear regression [ 3].
Techniques for analysing circular data are not included in most statistical packages.
The output is compiled in tab-delimited text files, which are compatible with most statistical packages.
The F test is commonly used to test the strength of the instruments and is provided in most statistical packages.
Yet, it is a viable alternative to other model-free methods, as it gives comparable results and is readily available in most statistical packages.
In this article, we review the current practice of statistical analysis of longitudinal data in these fields, and recommend the "best performing" statistical method among those available in most statistical packages.
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This can be easily incorporated into the calculation of standard errors of regression coefficients using commercial software packages (again we used Stata version 11.1, but the methods are available in most statistical software packages including R and SPSS).
This test is incorporated in most statistical software packages that include Cox regression.
Most statistical software packages can calculate all of these measures of variable association, as well as most of the measures comparing differences between groups.
Alternative procedures were considered, such as multilevel modelling, which also accounts for repeated observations, although most statistical software packages do not have provisions for ordinal multilevel analysis [ 68].
Principal component analysis is, of course, available in most statistical software and data analytics packages.
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