采用的都是 “multivariable”(临智第190、184、182、179、178、162),只有一篇文章用到“multivariate”(临智第159期),但是因涉及多元分类器的概念(Ys),实际上评估的就是多个因变量与多个自变量(预测变量)的关系,此处采用“multivariate”...
接下来以线性回归为例,来展示Multivariable与Multivariate两个术语的差别。首先是我们熟悉的简单线性回归模型。 A simple linear regression model: 方程右边仅有一个自变量/解释变量,方程左边仅有一个因变量/结局变量,所以简单线性回归既不属于Multivariable analysis,也不属于Multivariate analysis。 A multivariable or multi...
Adj.1.multivariate- pertaining to any procedure involving two or more variables statistics- a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters ...
Distinction Between Two Statistical Terms: Multivariable and Multivariate Logistic Regression.doi:10.1093/ntr/ntaa055Mohammad Ebrahimi KalanRime JebaiElaheh ZarafshanZoran BursacOxford University Press (OUP)
regression. The 95% confidence intervals (CI) were calculated for the odds ratios (OR), and the likelihood ratio Chi-square statistic was used to test for a significant association between each risk factor and UC. The area under the curve (AUC) for the multiple logistic regression model is ...
Multivariable time series prediction has been widely studied in power energy, aerology, meteorology, finance, transportation, etc. Traditional modeling methods have complex patterns and are inefficient to capture long-term multivariate dependencies of data for desired forecasting accuracy. To address such ...
differences in CVD incidence rates across stratified genetic risk groups, and a notable association between the MetS PRS and CVD incidence rate (hazard ratio = 1.11; 95% CI = 1.10–1.13) was identified through multivariable Cox regression analysis (Supplementary Fig.9and Supplementary Table...
Multivariate Linear regression 多元线性回归 multiple[ˈmʌltɪpl] adj. 数量多的;多种多样的 exp: ADJ many in number; involving many different people or things multiple copies of documents 各种文件的大量的副本 a multiple entry visa 多次入境签证 ...
The results clearly indicate that the availability of multivariable data and their effective combination can significantly increase the accuracy of both short-term and long-term predictions. 展开 DOI: 10.1109/TITB.2012.2219876 被引量: 42 年份: 2013 ...
Purpose The aim of this study was to develop a multivariate logistic regression model with least absolute shrinkage and selection operator (LASSO) to make valid predictions about the incidence of moderate-to-severe patient-rated xerostomia among head and neck cancer (HNC) patients treated with IMRT...