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In order to perform a statistical analysis of the PHQ-A data, it is necessary to first quantify the level of depression experienced by patients in week ten. To do this, scoring can be used which assigns points for each item on the questionnaire thus providing an aggregate score that can be used as a measure of overall severity. This can then be compared against other data collected in previous weeks or between different demographic groups if necessary.
Additionally, any correlations between impairments and symptoms should also be explored while taking into account factors such as gender or age which may contribute to these connections. For instance, it might be useful to look at how changes in sleep patterns affect one’s mood over time using regression analysis alongside any other variables found significant during initial examinations. Ultimately, by employing these types of techniques it is possible to uncover relevant information about patient wellbeing which can help inform healthcare decisions accordingly.