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中被...
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 ...
ENTROPY MINIMAX MULTIVARIATE STATISTICAL MODELING—II: APPLICATIONS logistic regression, Cox proportional hazards regression, recursive partitioning, linear discriminant analysis, mechanistic modeling, and expert (heuristic) programmi... CHRISTENSEN,RONALD - 《International Journal of General Systems》 被引量: ...
regression analysis. The IDA checklist can be used as a starting point for an analyst to design an IDA plan tailored to a specific study and possibly adding other aspects. Simplifications may be appropriate, in particular in the IDA domain of multivariate descriptions, for example if only few ...
Building multivariable regression models Before dealing with the functional form, the ‚easier‘ problem of model selection: variable selection assuming that the effect of each continuous variable is linear * Multivariable models - methods for variable selection ...
(e.g., the next 10 years) Impact of individual and combinations of readily available risk factors Framingham History Modeling started in 1960’s with discriminant function analysis and logistic regression analysis -Truett J, Cornfield J, Kannel WB. A Multivariate analysis of the risk of coronary ...