We calculated mean differences (MDs) using a random-effects model.
我们采随机效应模式计算平均差（MD）。
Two reviewers extracted data, which were aggregated using random-effects models.
由两名评论员通过随机效应模型提取数据。
Then, for each available comparison, we conducted a random-effects meta-analysis.
对于每一项可取得的比较项目，我们进行随机效应统合分析。
Pooled relative risk (RR) and 95% confidence interval (CI) were calculated using a random-effects model.
共同的相对危险率和95%的可信区间用一种随机效应模型被计算出来。
Random-effects model meta-regression analyses were performed to assess sources of intertrial heterogeneity.
进行随机效果模型统合回归分析以评估试验间异质性的来源。
Preplanned sensitivity and subgroup analyses were performed after data were analysed with a random-effects model.
在采用随机效应模型分析数据后实施预先计划的敏感性和亚组分析。
We meta-analysed data using a random-effects model on the primary and key secondary outcomes and formally assessed heterogeneity.
我们在主要与关键次级结果中，以随机效应模式将资料进行统合分析，并正式地评估其异质性。
Random-effects analysis was used for comparing trials showing heterogeneity, and fixed-effects analysis was used for comparing trials showing homogeneity.
随机效应分析被用作比较体现出异质性的试验，而固定效应方向则用来比较体现出同质性的试验。
Quantitative analysis was not possible for most outcomes, but where used we preferred random-effects models due to the variability between the included studies.
因纳入的试验间的差异性，大多数的结果无法进行定量的分析，故我们运用随机效果模式。
Where there was significant statistical heterogeneity, we reported risk ratios (RRs) using the random-effects model. For other outcomes we used the fixed-effect model.
在有显著的统计异质性时，使用随机效应模型来呈现相对风险值，其他的预后值则使用固定效应模型。
Some of these effects may be random.
一些效应可能是随机的。
Several studies have been done on the psychological effects of random rewards on monkeys.
有人用猴子做了研究，以观察随机回报对心理的影响。
I say interesting, because when you look at them as a whole, they are really quite a random hodgepodge collection of effects.
我用“有趣”形容它们，是因为从总体上看它们确实是一个随机的效果集合。
The effect of deep tube well use on the incidence of childhood diarrhoea was assessed using a random effects negative binomial regression model.
采用随机影响负二项回归模型，评估深管井的使用对儿童发生腹泻的影响。
Pooled effect sizes were calculated using random effects models.
利用随机效应模型计算了混合效应的大小。
The only backing music is a keyboard playing seemingly random notes, and a voice in the background with some effects.
唯一的背景音乐是似乎弹奏出随机音符的键盘，以及一些略带特效的背景声音。
Pooled relative risks (RRs) were estimated by random effects models.
混合相对危险度(RRs)通过随机效果模型进行估测。
This paper makes thorough analyses for the effects of the random errors with modern statistics and achieves useful conclusions.
从现代数理统计的角度，对这种随机误差的影响进行较深入的分析，得出了有益的结论。
When there is heterogeneity that cannot readily be explained, one analytical approach is to incorporate it into a random effects model.
当异质性不容易被解释的时候，一个分析方法是将它合并为随机效应模型。
The model represents our lack of knowledge about why real, or apparent, treatment effects differ by considering the differences as if they were random.
这种模型表明了我们知识的一种缺乏，这都是为什么真正的、显著的效应的差别要通过这样一个随机模型。
We print CARDS with random effects partially for this reason.
我们印制一些随机效果的牌部分也是因为这个原因。
CONCLUSION: multivariate random coefficients model can effectively analyze the dynamic change trend and random effects of multivariate repeated measures data in medical research.
结论：多变量随机系数模型可有效地进行多变量重复观测数据的动态变化趋势分析以及随机效应分析。
It is difficult to establish the validity of any distributional assumption, and this is a common criticism of random effects meta-analyses.
建立一个有效的分布形式是很困难的，这也是随机效应模型通常被批评的原因。
The random effects estimate and its confidence interval address the question 'what is the average treatment effect?
随机效应估计和它的可信区间会提出这样一个问题，“平均效应是什么？”
We discussed the nonlinear models with random effects, presented the theory and methods for the models with large nonlinearity.
该文研究了非线性随机效应模型，为非线性张度大的模型提供了理论和方法。
Treatment effects were summarised as relative risks or weighted mean differences with 95% confidence intervals by using a random effects model.
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。
Variance component model of the random effects of covariance matrix unit for the "Linear model introduction" matrix has been studied.
方差分量模型的随机效应的协方差为单位阵时《线性模型引论》已进行研究。
Q function have been used to study the statistical diagnostics for the exponential family nonlinear models with random effects.
对指数族非线性随机效应模型，本文首次利用Q函数进行统计诊断。主要创新性研究成果如下。
Results Repeated measurement obtained reasonable results by the fixed and random effects along with efficient estimate of covariance matrix.
结果通过固定效应与随机效应及对协方差矩阵的估计，使重复测量数据得以合理的分析。
Based on panel data, the fixed effects model and the random effects model are used to estimate the performance of agriculture loan in the period from 1999 to 2002 in China.
文章基于面板数据，利用固定效应估计法和随机效应估计法，对我国在1999年至2002年间农业信贷的绩效作出实证研究。
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