Multivariate Cox proportional hazards models were used to identify factors linked to early neonatal death.
使用多变量cox比例风险模型来确定与早期新生儿死亡相关的因素。
The hydrological method is using the hydrological series data to establish the autoregressive and multivariate recurrence models.
水文方法是利用水文序列资料建立自回归模型和多元递推模型。
Objective To explore the application of marginal regression models on multivariate correlation analysis in medical research.
目的探讨边际回归模型在医学研究领域多变量相关分析中的应用。
Based on the analysing of the data, selected relevant factors, made a series of tests and amendments with models, then created forest volume estimation optimal multivariate linear regression model.
在分析数据的基础上，选择了相关遥感因子和定性因子，并通过一系列模型的检验与修正，建立了公顷蓄积量估测的最优多元线性回归模型。
Moreover, multivariate linear models have been established between each element content and the characteristics factors of precipitation in throughfall, stem-flow, stream.
且建立了穿透水、干流和总径流的各化学元素含量与降雨特征因子的多元线性关系。
For modeling the multilevel few sample or irregular data, the accumulated multilevel statistical models of multivariate full model was built on ordinary multilevel statistical models.
为了解决多层的少样本或无规则数据的建模问题，在一般多层统计模型的基础上提出了多变量整体模式的累加多层统计模型。
You can carry out very comprehensive analysis of univariate and multivariate data based on linear, general linear, and mixed linear models.
你可以基于线性、广义线性、以及混合线性模型进行单变量和多变量数据的全面分析。
Multivariate calibration models are of critical importance to many analytical measurements, particularly for near-infrared spectroscopic data.
多元校正模型在近红外光谱数据分析中具有非常重要的作用。
The course is an introduction to univariate and multivariate time series models.
本课程是对于单变量与多变量时间序列模型的一个介绍。
Conclusion: Multivariate and multilevel models can effectively analyze longitudinal data with several dependent variables.
结论：多元多层模型可有效地分析具有多个因变量的纵向研究资料。
The clinicopathological parameters associated with HCC rupture were investigated using univariate and multivariate logistic regression models.
研究人员通过单变量及多变量逻辑回归模型，对破裂HCC相关的临床病理学参数进行了考察。
Univariate and multivariate Cox proportional hazards models were used to identify predictors of survival for patients with pulmonary metastatic melanoma.
该研究的目的是鉴别肺转移性黑色素瘤患者生存的预测指标。
Firstly, we develop some new methods on the basis of graphical models, which has been widely used in data mining and multivariate analysis.
作为进行多变量数据分析的重要手段，“图模型”近年来得到了人们的广泛关注，并被应用于许多重要领域。
Chapter2: Traditional time series models and multivariate fuzzy time series models.
第二章、时间数列模型与多变量模糊时间数列模型。
Results: (1) The results from one-variate and multivariate multilevel models were mainly consistent.
结果：(1)一元多水平模型和多元多水平模型筛选变量的结果基本一致。
However, when try to regression independent variables to the dependent variables in multivariate analysis, the coefficients are all non-zero. So these models lack of interpretation.
然而，在多元线性分析方法中，当求解因变量对自变量的回归时，得到的组合系数往往均不为零，因此这种回归模型的主要缺点是缺乏可解释性。
Multivariate mixed models incorporating a propensity score to account for imbalance among cohorts were used to estimate drug effects on mortality with associated 95% confidence intervals (95%CI).
运用多变量混合摸型，加上说明不同队列间不均衡性的倾向评分，使用95%可信区间估计药物作用对死亡率的影响。
In the present paper, We give the necessary and sufficient conditions for which the minimum variance linear unbiased estimator reduces to the least square in multivariate linear models.
本文讨论回归方程组系数的估计，给出最小二乘估计是有效估计的条件。
In the present paper, We give the necessary and sufficient conditions for which the minimum variance linear unbiased estimator reduces to the least square in multivariate linear models.
本文讨论回归方程组系数的估计，给出最小二乘估计是有效估计的条件。
应用推荐