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These two effects are adjusted for the identified confounding effects.
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The Cochrane review [ 6] identified methodological confounding effects that may have influenced the study results such as the participants were taking a range of pharmaceutical treatments that may have been altered during the trial and therefore influenced BPSD scores.
Stratified analyses were conducted to test for effect modification and confounding; any variable with a Breslow-Day p value <0.05 was considered significant, while a 10% difference between the unadjusted and adjusted RR was used to identify confounding.
Confounding effects were identified by comparing crude odds ratio (OR) with adjusted OR using logistic regression.
Our sample size may not have allowed for an effective evaluation of the differential effects of the identified confounding factors on the observed results.
After adjusting for confounding effects of age and gender, logistic regression analysis identified several characteristics (independent predictors) differentiating between the two groups (table 2).
Table 2 contains the 80% bootstrap percentile confidence intervals for testing the equal-effect hypotheses H01, H02 and H03 on identified confounding variables.
Nevertheless, risk factors are not confounding effects to be discounted – there may be cancer-related gene environment interactions that need to be identified.
Binary logistic regression analysis confirmed intervention effects exceeded confounding effects.
However, the above effects were not adjusted for confounding effects.
Measured, previously identified confounding factors were included in the model.
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