区别在于：binary logistic指的是二元逻辑回归。multivariable logistic regression指的是多因素逻辑回归分析。例句：binary logistic 1、Application Analysis on Classification Forecasting Using Binary Logistic RegressionModel 二元逻辑回归模型在分类预测中的应用分析 2、Prediction of water inrush through coal ...
Multivariable binary logistic regression model comparing optimistic prediction to those correctly classified by doctors.Douglas D. ThompsonGordon D. MurrayCathie L. M. SudlowMartin DennisWilliam N. Whiteley
multivariable logistic regression analysis Multivariable logistic regression analysis is a statistical method used to analyze the relationship between multiple independent variables and a binary outcome variable. It is an extension of simple logistic regression, which deals with only one independent variable....
Aims and scope of initial data analysis in the context of regression analysis This paper elaborates on planning and conducting IDA, in particular data screening, in a reproducible manner in the context of regression analyses with a continuous, binary, ordinal or count-type outcome variable. While...
Previous spinal surgery studies focused solely on comparing different machine learning and regression approaches for binary outcomes and involved only internal validation of the developed prediction models [21,22,23]. Thus, it was important to identify whether a non-linear modelling strategy (RF) ...
Secondly, most exposures and outcomes used in our study were binary, and thus the Wald-type estimator could bias for causal OR50. Since the sample size included in MR analysis was large, we thought the estimate effects will be close to the truth. Thirdly, we unable to infer possible U ...
Sex-specific logistic regression for each genetic variant with IHD was adjusted for age, 20 principal components and assay array (the UK BiLEVE array and UK Biobank Axiom array). Genetic associations with IHD in Japanese men were obtained from summary statistics in Biobank Japan, one of the ...
normal errors (linear) regression model Y normally distributed E (Y|X) = ß0 + g(X) Var (Y|X) = σ2I logistic regression model Y binary Logit P (Y|X) = ln survival times T survival time (partly censored) Incorporation of covariates ...
Three types of prediction modelling were used. Burgess et al. [49] used time-to-event modelling with stressful life events as a time-dependent variable and depression/anxiety as a binary outcome (Y/N) for medium-term outcome (4 months to 2 years after diagnosis); all other predictors were...
3) binary logistical regression 二分类变量逻辑回归4) multinomial logistic regression 多元逻辑回归5) logistic regression 逻辑回归 1. Identifying Model of Large Amount of Enterprises Suspicious Transactions of Foreign Exchange Based on Logistic Regression; 基于逻辑回归的企业大额可疑外汇资金交易识别模型 ...