proportional odds ordered logistic regression model(比例优势命令逻辑回归模型)logistic回归模型，主要是用来对多因素影响的事件进行概率预测，它是普通多元线性回归模型的进一步扩展，logistic模型是非线性模型。比如说我们曾经做过的土地利用评价，就分别用多元线性回归模型和Logistic模型进行试验。影响耕地的因素...
是基于logistic regression的一个对「有序」分类变量进行建模的模型,可以参考https://online.stat.psu.edu/stat504/node/176/。充分利用已有的资料,我想统计系课程的解释会比我在这里打一些描述地更清楚。赞 回复 一休 (不存在的女孩) 楼主 2020-06-20 21:21:00 是基于logistic regression的一个对「有序」...
proportional-odds model by the inclusion of orthogonal polynomial contrasts. We introduce the repeated measures proportional-odds logistic regression model and describe for long ordinal outcomes modifications to the generalized estimating equation methodology used for parameter estimation. We introduce data ...
The proportional odds (PO) ordinal logistic regression model is a generalization of the Wilcoxon test, and it handles arbitrarily heavy ties. Since the Wilcoxon test assumes within-group homogeneity of outcome tendencies, the Wilcoxon test makes more assumptions than the PO model. We will use the...
PROPORTIONAL ODDS MODELThe proportional odds model for ordinal logistic regression provides a useful extension of the binary logistic model to situations where the response variable takes on values in a set of ordered categories. The model may be represented by a series of logistic regressions for ...
The proportional odds model for ordinal logistic regression provides a useful extension of the binary logistic model to situations where the response variable takes on values in a set of ordered categories. The model may be represented by a series of logistic regressions for dependent binary variables...
In the model, when comparing two (or more) tests, each test has its own trend of ORs across studies, while the trends of two tests are (assumed to be) proportional to each other, the "proportional odds ratio" assumption. We alleviate dilemma of choosing weighting schemes such that do ...
The proportional odds model is the most widely used model when the response has ordered categories. In the case of high-dimensional predictor structure, the common maximum likelihood approach typically fails when all predictors are included. A boosting technique pomBoost is proposed to fit the model...
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Multivariate ordered logistic regression in the context of the partial proportional odds model was used./p pResults/p pDescriptive results showed that the ... AK Ziraba,JC Fotso,R Ochako - 《Bmc Public Health》 被引量: 587发表: 2009年 加载更多来源...