We used a random effects meta-analysis.
我们使用随机效果统合分析。
A random effects statistical model was used.
并使用随机效应统计模式。
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。
Fixed and random effects models were used to pool the data.
使用固定与随机效果模型整合资料。
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。
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。
The summary relative risks (RRs) were estimated by the random effects model.
利用随机效应模型来估计相对危险度。
The least square estimate of covariance matrices in the growth curve model with random effects;
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。
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？”
Note that a random effects model does not 'take account' of the heterogeneity, in the sense that it is no longer an issue.
注意随机效应模型没有考虑异质性，在某种意义上，它不是一个议题。
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。
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。
The detection of multiple outliers in random effects models of the unbalanced one-way classifications is studied in this paper.
研究了非平衡单向分类随机效应模型中多个异常值的检验问题。
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。
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。
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。
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 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。
When the answers do not coincide, the random effects estimate may not reflect the actual effect in any particular population being studied.
当答案不一致时，在任何一个被研究的总体中，随机效应估计也许不能反应真正的效应。
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。
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。
Care must be taken that random effects analyses are applied only when the idea of a 'random' distribution of treatment effects can be justified.
我们应该小心，只有当治疗效应的随机分布的思想被校正的时候，随机效应分析才能被应用。
Where significant or apparent heterogeneity was found, results were reported using the random effects model and potential causes of the heterogeneity were sought.
若结果有显著差异则报告以随机效应模式呈现，并探讨可能的原因。
Meanwhile, the result showed by random effects test demonstrated that basal area models of provenances planted on the same region was of no significant difference.
随机效应检查的结果表明，同一地区不同种源的断面积模型相同。
A random effects meta-analysis model involves an assumption that the effects being estimated in the different studies are not identical, but follow some distribution.
随机效应的Meta分析模型涉及这样一个假定，在各个研究中的被估计效应是不一样的，但遵循某种分布。
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。
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。
The precision of mixed model considering plot random effects, time series error autocorrelation and different plantation density at one time is better than that of ordinary regression analysis method.
同时考虑样地的随机效应、观测数据的时间序列相关性及不同初植密度的混合模型模拟精度比传统的非线性回归方法模拟精度高。
Some of these effects may be random.
一些效应可能是随机的。
Some of these effects may be random.
一些效应可能是随机的。
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