Multivariate analysis 指涉及多个因变量(结果变量)的分析方法,除multivariate regression外,还包括了多元方差分析(MANOVA)及其他一些方法,比如判别分析、降维、主成分分析等等,此处不展开。 Multivariate regression在2021版的Modern Epidemiology中...
Distinction Between Two Statistical Terms: Multivariable and Multivariate Logistic Regression.doi:10.1093/ntr/ntaa055Mohammad Ebrahimi KalanRime JebaiElaheh ZarafshanZoran BursacOxford University Press (OUP)
如果出现thewords“independentlyassociated”and“independentfactor/predictor”implythatamultivariablemodelhasbeenusedandthatthedescribedrelationshiphasbeenadjustedforatleastoneadditionalfactor（其他自变量or协变量？）.multipleregressionVSmultivariateregressionare前者一个因变量；后者多个因变量，且不是很常见 多元逻辑回归 ...
In this section, we provide guidance on how to develop an IDA plan focused on data screening to prepare regression analyses (Table2) and is focused on three IDA domains: missing values, univariate distributions, and the multivariate system of predictors. We explain the aspects that we consider ...
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Hidalgo B, Goodman M (2013) Multivariate or multivariable regression? Am J Public Health 103(1):39–40 Article PubMed PubMed Central Google Scholar Tolles J, Meurer WJ (2016) Logistic regression: relating patient characteristics to outcomes. JAMA 316(5):533–534 Article PubMed Google Scholar...
Multivariate Adaptive Regression Splines MDD: Maximum Dry Density MEP: Multi Expression Programming MLR: Multi-linear Regression Analyses MP: Modified Proctor NLR: Nonlinear Regression NN: Neural Network OBJ: Objective function OMC: Optimum Moisture Content ...
In the multivariate logistic regression analysis, cortical thickness (p = 0.001), absence of hilum (p = 0.042) and T stage (p = 0.012) were considered independent predictors of high-burden node. The area under curve (AUC) of the nomogram was 0.749. ...
This study aimed to develop and externally validate prediction models of spinal surgery outcomes based on a retrospective review of a prospective clinical database, uniquely comparing multivariate regression and random forest (machine learning) approache
UnivariateMultivariate Hazard ratio95% CIp valueHazard ratio95% CIp value LCR1-LCR2 algorithm 13.94 10.22–19.01 <0.001 10.79 8.14–14.31 <0.001 Sex (men vs. women) 2.68 2.00–3.59 <0.001 2.26 1.75–2.92 <0.001 Age (years) at FibroTest™ time 1.06 1.04–1.07 <0.001 ≤40 (reference) ...