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We planned to combine data from primary studies in a meta-analysis with Review Manager 5 using the risk ratio as a summary outcome measure using a random-effects model if enough studies were retrieved and after significant clinical diversity and substantial statistical heterogeneity were confidently ruled out.
In the secondary analyses, crude and adjusted (for parity, HIV status and baseline variables) prevalences were calculated using the Risk Ratio.
Qualitatively similar results were obtained by using the risk ratio and incidence odds ratio (15 ).
For dichotomous outcomes, we calculated the results using the risk ratio (RR).
Data were synthesized using the risk ratio metric and using a random effects model.
For dichotomous outcomes, data will be analysed using the risk ratio with 95% CIs.
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We compared power estimates for each pollutant for analyses using single pollutant and two-pollutant models, using the risk ratios from the single and two-pollutant models for the observed data.
To compare the incidence of CHE by specific characteristics, we used the risk ratio and the 95% confidence interval.
For dichotomous data, we will use the risk ratio to measure the treatment effect with 95% CIs.
We planned to use the risk ratio to compare the treatment and control groups for dichotomous outcomes.
We used the risk ratio of the two standardised incidence ratios (SIR/SIR-ratio) to compare the metal-on-metal and the non-metal-on-metal cohorts.
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