Geospatial and regression analyses
To explore where clustering of MIRs occurred by health regions across Canada, we calculated the Moran's I statistic using GeoDa software, which is one of the most commonly used measurements of spatial autocorrelation in ecological, health, environmental and geological studies (\cite{pap1950},\cite{m2011}). Neighbouring regions with similar values (clustering) suggest spatial dependency, resulting in positive spatial autocorrelation; conversely, neighbouring regions with dissimilar values (dispersion) are inversely spatially dependent, resulting in negative spatial autocorrelation. Neighbouring regions with no spatial pattern (randomness) result in an autocorrelation value of zero.
Univariate and regression analyses were performed with JMP software version XX (XX).
Nunavut – rounded down to 1
Saskatchewan – rates same in each region that were initially combined
Role of the funding source
Results
Discussion
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Research in context panel
Evidence before this study: This section should include a description of all the evidence that the authors considered before undertaking this study. Authors should briefly state: the sources (databases, journal or book reference lists, etc) searched; the criteria used to include or exclude studies (including the exact start and end dates of the search), which should not be limited to English language publications; the search terms used; the quality (risk of bias) of that evidence; and the pooled estimate derived from metaanalysis of the evidence, if appropriate.
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