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A number of papers, including Kerr et al. (2001), Maré and Timmins (2004), and Maré and Choy (2001), examine internal mobility in New Zealand using aggregate data, but are unable to analyse differences between population groups.
We were therefore unable to analyse differences in admission rates between wards with and without CRTs in their areas.
We were unable to analyse differences between respondents and non-respondents in the study as information about non-respondents could not be captured as recruitment was at arm's length through practices.
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We were unable to analyse variables other than gender and body mass index that may affect needling depth, such as age, diagnosis, neck girth and side difference.
This study was unable to analyse treatment in this context.
Due to small numbers we were unable to analyse all ethnic groups separately.
Finally, we were unable to analyse in detail the reasons for exclusion for 25 indicators.
Our study was also unable to analyse failed appointments by clinical condition and symptoms.
Furthermore, we were unable to analyse the midwives' experience and training, which could impact on outcome.
We were unable to analyse characteristics of non-respondents.
Thus, this study was unable to analyse symptom correlation with CT findings for diagnosing CRS.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com