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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
The free surface effects of random wave forces are studied by means of nonlinear spectral analysis and a new calculating model is proposed.
应用非线性谱分析法对随机波浪载荷的自由表面效应进行了研究，提出了一种新的计算模型。
Based on these data the random errors' effects on the optimized parameters in the water quality model were analysed with response surfaces for objective function.
在此基础上，用绘制目标函数响应面的方法，分析水质监测数据中的随机噪声对水质模型参数最优估值的影响。
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。
The random genetic effects in the model are able to be predicted by the Adjusted Unbiased Prediction (AUP) approach with MINQUE (0/1) method.
该模型中的随机遗传效应则可用MINQUE（0/1）法作调整无偏预测。
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。
A random effects statistical model was used.
并使用随机效应统计模式。
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 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。
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。
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。
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）。
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 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。
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。
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