Study Strengths
The ARIMA model strengthened the analysis by addressing seasonality and autocorrelation. Population-level administrative data allowed the analysis to include all available ED presentations rather than a sample. Longitudinal data allowed th…
1 sources - 4 claims
The ARIMA model strengthened the analysis by addressing seasonality and autocorrelation. Population-level administrative data allowed the analysis to include all available ED presentations rather than a sample. Longitudinal data allowed the study to observe ED presentation trends over time and increased statistical power. The well-defined district setting reduced the likelihood of unmeasured district-wide confounding during the study period.