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- unbalance random effect model 非平衡随机效应模型
- Relative risk( RR) was used as a measure of the effect of folic acid supplementation on the risk of stroke with a random effect model. 采用相对危险度(R)大小,作为衡量叶酸补充治疗在降低卒中发生危险有效性的指标。
- Relative risk (RR) was used as a measure of the effect of folic acid supplementation on the risk of stroke with a random effect model. 采用相对危险度(RR)的大小,作为衡量叶酸补充治疗在降低卒中发生危险有效性的指标。
- Using the primary data, the study-specific relative risks (RRs) were calculated and then pooled using a random effects model. 根据原始的数据,计算出每个研究具体的相对危险度并根据随机效应模型综合数据。
- We first provide a simple method for estimating R&R based on two way random effects model, which overcomes the drawbacks of analysis of variance (ANOVA) method. 本文首先根据二因素随机效应模型,给出了估计R&R的一种方法,它克服了方差分析方法的某些不足;
- Directional Random Effect Model and Its Covariance Structure 方向随机效果模型及其协方差结构
- Design: The MEDLINE and the Cochrane Library databases were searched for studies conducted from 1966 through 2005. Relative risks were pooled by using an inverse-variance weighted random effects model. 设计:搜索MEDLINE和冠心病图书馆数据库中从1966年到2005年的研究,采用一种反变量加权的随机效应模型计算相对危险度。
- Testing for Heteroscedasticity in Semiparametric Random Effect Model 半参数随机效应模型的异方差检验
- Two-way nested random effect models 两级套随机效应模型
- A Test for the Linear Relation of the Error Wariace in Oneway Classification of the Random Effect Model 单向分类随机效应模型误差方差线性关系的一种检验
- two- nested random effect model 两级套分类模型
- two-nested random effect model 两级套分类模型
- Methods With the method of IGLS in multilevel model the various parameters of fixed and random effect were calculated. 方法应用多层次分析方法,从固定效应和随机效应的角度,经广义最小二乘迭代法(IGLS)估算各种参数。
- Methods With the methed of IGLS in multUevel model the various parameters of fised and random effect were calculated. 方法应用多层次分析方法,从固定效应和随机效应的角度,经广义最小二乘迭代法(IGLS)估算各种参数。
- random effect model 随机效果模式
- Empirical Bayes Estimation of Variance Components in Two-Way Classification Random Effects Model 双向分类随机效应模型中方差分量经验Bayes估计的收敛速度
- NONPARAMETRIC ESTIMATION FOR DENSITY OF THE RANDOM EFFECTS IN THE LINEAR MIXED EFFECTS MODEL 线性混合效应模型中随机效应密度的非参数估计
- General Admissibility of Linear Predictor in the Multivariate Random Effects Model 多元随机效应模型中线性预测的泛容许性
- We consider the admissibility for linear estimates on regression coefficients and param eters in multivariate random effect linear model under two kinds of matrix loss functions. 在两种矩阵损失函数下讨论随机效应多元线性模型中回归系数和参数的线性估计的可容许性.;并且在齐次和非齐次线性估计类中分别得到了可容许估计的充要条件。
- The statistical method, adjusted unbiased prediction (AUP), was used to predict the random effect vectors. 随机效应值通过执行调整无偏预测法(AUP)得到。
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