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Dichotomous data will be analysed using risk differences (RD) and continuous data using weighted mean differences, both with 95% CIs.
Dichotomous data will be analysed using risk difference and continuous data using weighted mean differences, both with 95% CI.
Dichotomous data will be analysed using risk differences and continuous data using mean differences, both with 95% CIs.
Dichotomous data will be analysed using risk difference and continuous data using weighted mean differences, both with 95% CIs.
Data will be analysed using risk ratio for dichotomous data, and standardised mean difference or weighted mean difference for continuous data.
Similar(55)
The proportion of patients with treatment discontinuations and/or need for rescue therapy owing to lack of efficacy at any time point were analysed using risk-ratio and 95% CIs.
The dichotomous measure of success will be analysed using relative risk, risk reduction and numbers needed to treat in order to facilitate clinical interpretation of findings and future guidelines.
For dichotomous outcomes, data will be analysed using a risk ratio (RR) with 95% CIs.
For dichotomous outcomes, data will be analysed using the risk ratio with 95% CIs.
Dichotomous data will be analysed using relative risk and continuous data using weighted mean differences (or standardised mean differences), both with 95% CIs.
The CA125 results will be analysed using the risk of ovarian cancer algorithm (ROCA) (Skates et al, 2001), which has been successfully piloted in the postmenopausal general population (Menon et al, 2005).
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