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We shall use logistic regression to analyse the relationship between our principle exposures, i.e. BPSD and outcomes such as falls, controlling for potential confounders identified through clinical experience and bivariate analyses.
Random-effects Poisson regression evaluated the effect of preventive home visits on the number of falls controlling for covariates.
Binary logistic regression was then used to determine whether any of the clusters were significantly associated with falls (controlling for age and gender as covariates).
Random-effects Poisson regression 20 estimating incidence rate ratios and 95% confidence intervals was used to evaluate the effect of preventive home visits on the number of falls, controlling for covariates.
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