连续数据的分析使用加权均数差(WMD)。
Continuous data were analysed using weighted mean difference (WMD).
目的：探讨医学研究中方差分析常用的效应量——标准均数差的计算方法。
AIM: To explore the standardized mean difference, the common effect size for ANOVA in medical research.
主要成果是加权均数差(WMD)的为CIMT比较HIV阳性与阴性患者。
The primary outcome was weighted mean difference (WMD) for CIMT comparing HIV positive versus negative patients.
治疗效果采用相对危险度和加权均数差(采用随机效应模型的95%可信区间)概括。
Treatment effects were summarised as relative risks or weighted mean differences with 95% confidence intervals by using a random effects model.
新生儿评价组的标准方法，使用相对危险度(RR)，风险差(RD)和加权均数差(WMD)。
Standard methods of the Neonatal Review Group with use of relative risk (RR), risk difference (rd) and weighted mean difference (WMD).
将所有的研究的数据合成，对于分类变量效应指标为风险比，对于连续型变量效应指标为加权均数差，根据研究样本的大小来加权。
Data were pooled across studies, and relative risks for categorical outcomes and weighted mean differences for continuous outcomes, weighted according to study sample size, were calculated.
计算各组变异系数、标准差、极差、均数95%可信区间，比较连续3个心动周期与5个心动周期的参数测量值。
The standard deviation, range, variation coefficient, 95% confidence interval were analyzed, the average values of 3 cycles were compared with those of 5 cycles.
所用到的统计学方法有一般的统计描述(如均数与标准差)，以及重复测量方差分析，聚类分析，多重线形回归等。
The statistical methods used are general statistical description (such as mean and standard deviation), repetitive measurement deviation analysis, clustering analysis and multiple linear regression.
所用到的统计学方法有一般的统计描述(如均数与标准差)，以及重复测量方差分析，聚类分析，多重线形回归等。
The statistical methods used are general statistical description (such as mean and standard deviation), repetitive measurement deviation analysis, clustering analysis and multiple linear regression.
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