利用随机效应模型计算了混合效应的大小。
Pooled effect sizes were calculated using random effects models.
利用随机效应模型来估计相对危险度。
The summary relative risks (RRs) were estimated by the random effects model.
由两名评论员通过随机效应模型提取数据。
Two reviewers extracted data, which were aggregated using random-effects models.
LM检验证明随机效应模型优于固定效应模型。
LM test proves the random effect model is superior to the fixed effect model.
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。
The detection of multiple outliers in random effects models of the unbalanced one-way classifications is studied in this paper.
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。
Preplanned sensitivity and subgroup analyses were performed after data were analysed with a random-effects model.
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。
Note that a random effects model does not 'take account' of the heterogeneity, in the sense that it is no longer an issue.
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。
Pooled relative risk (RR) and 95% confidence interval (CI) were calculated using 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。
When there is heterogeneity that cannot readily be explained, one analytical approach is to incorporate it into a random effects model.
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。
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。
The least square estimate of covariance matrices in the growth curve model with random effects;
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。
It is difficult to establish the validity of any distributional assumption, and this is a common criticism of random effects meta-analyses.
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.
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。
Q function have been used to study the statistical diagnostics for the exponential family nonlinear models with random effects.
首先刻画了非线性随机效应模型的异方差类型，进而研究了非线性随机效应模型的异方差检验；
We first develop the tests for varying dispersion in two special generalized nonlinear models of longitudinal data: (1) logistic nonlinear models in binomial data;
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。
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.
根据资料一致性检验，采用随机效应模型(D- L法)计算合并相对危险度(RR)及其9%的可信区间(9%CI)。
Homogeneity showed that random effect model should be selected to calculate the pooling relative risk (rr) and its corresponding9%confide nce interval (9%ci).
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。
CONCLUSION: multivariate random coefficients model can effectively analyze the dynamic change trend and random effects of multivariate repeated measures data in medical research.
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。
The model represents our lack of knowledge about why real, or apparent, treatment effects differ by considering the differences as if they were random.
本文研究了一般的随机效应多元线性模型中线性可估函数的最优线性无偏估计。
In this paper we investigated optimal linear unbiased estimation of the linear estimable function in general multivariate random effect linear model.
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。
The free surface effects of random wave forces are studied by means of nonlinear spectral analysis and a new calculating model is proposed.
研究两次重复试验三因子全效应随机模型误差方差的齐性检验问题，推导了检验统计量和检验规则的具体表达式。
According to the homogeneity test for error variance on total-effect random model with three factors in double repeated experiment, the specific formulae of test statistics and test rule are deduced.
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。
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.
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。
The random genetic effects in the model are able to be predicted by the Adjusted Unbiased Prediction (AUP) approach with MINQUE (0/1) method.
血脂和血压的变化模式通过比较运用随机系数线性混合效应模型得到的追踪观察期的梯度来评估。
Patterns of changes in lipids and BP were evaluated by comparing slopes over follow-up time using random coefficient linear mixed-effect models.
将线性混合模型中随机效应的协方差阵推广为正定阵，运用方差分析估计的方法给出了方差分量的估计。
In this paper, the covariance matrix of random effect in linear mixed model is extended to positive matrix. We construct the estimation of variance components based on the idea of ANOVA estimation.
方差组分估计所用的模型为奶牛育种中常用的公畜模型，它包括场年季固定效应、公牛组固定效应和公牛随机效应。
The model used was the sire model containing herd-year-season(HYS) effect(fixed), sire group effect(fixed)and sire effect(random), which is widely used in dairy cattle breeding.
在考虑公司个体特点的基础上，运用随机效应影响的面板模型进行了敏感性分析。
Considering the distinguishing feature of diverse companies, sensitive analysis is processed with random-effect panel data model.
这种效应称做“随机共振”(stochastic resonance)，在电子线路、全球气候模型以及神经细胞当中都可发现。
The effect is known as stochastic resonance, and it occurs in electronic circuits, global climate models and nerve cells.
利用分子遗传标记信息和随机QTL效应模型，研究了个体遗传评定的效果。
Information coming from molecular genetic markers, and a model which consists of a random QTL effect for the evaluation of animals were used.
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