Dichotomous outcomes were analyzed with odds ratios.
使用让步比分析分叉式结果。
For dichotomous outcomes, we calculated risk ratios (RRs) and 95% confidence intervals (CIs).
对于二分结果，我们计算风险比(RR)和95%置信区间(CI)。
For dichotomous outcomes, we used risk ratio (RR) with 95% CI to measure the treatment effects.
针对二分法的结果，我们使用风险比(RR)与95%信赖区间计算其治疗效果。
Outcomes were analysed as continuous and dichotomous outcomes, using standard statistical techniques.
将结果以连续性及二分法表示，并使用标准的统计技术分析。
Results are reported as odds ratios (OR) for dichotomous outcomes and weighted mean differences for continuous data.
结果报告两分法以OR呈现和连续数据以加权平均的差别呈现。
For dichotomous outcomes we calculated a relative risk with its associated 95% confidence interval and a number needed to treat.
对于二分的结果变项我们计算相对风险以及其95%信赖区间、益一需治数。
Relative risk was used to summarise dichotomous outcomes and both the standardised mean difference and mean difference to summarise continuous measures.
相对危险是用来总结二分法的结果，而标准化平均差及平均差这两者整合了连续的测量值。
Dichotomous outcomes are reported as relative risk (RR) and measurements on continuous scales are reported as mean differences (WMD) with 95% confidence intervals (CI).
二分式结果以相对风险性报告，连续标度的测量结果以95%可信区间均值标准差报告。
Standardised or weighted mean differences were used to pool data for continuous outcomes and odds ratios were used to pool data for dichotomous outcomes, together with 95% confidence intervals.
对于连续性的结果变项使用标准化或加权的平均值差异来分析处理资料，而对二分的结果变项则使用胜算比与95%信赖区间来分析处理资料。
For dichotomous outcomes, you will need to enter the number of events (in this case, the number of headaches) and the number of participants in each group. Enter the following data into the table.
对于二分类变量的结局来说，你只需输入事件发生数(在本例中，即发生头痛的人数)和每组的总人数。将下表的数据输入表格中。
Summary effect sizes for dichotomous and continuous outcomes were calculated using a random effects model and heterogeneity was assessed.
二分项资料与连续资料均使用随机效果模式来计算总结效果大小，且说异质性也被评估。
Summary effect sizes for dichotomous and continuous outcomes were calculated using a random effects model and heterogeneity was assessed.
二分项资料与连续资料均使用随机效果模式来计算总结效果大小，且说异质性也被评估。
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