Unobserved heterogeneity and the comparison of coefficients across nested logistic regression models: how to avoid comparing apples and oranges

Brzoska Patrick; Sauzet Odile; Breckenkamp Jurgen

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Unobserved heterogeneity and the comparison of coefficients across nested logistic regression models: how to avoid comparing apples and oranges

机译：不观察到的异质性和嵌套物流回归模型的系数的比较：如何避免比较苹果和橘子

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来源
《International journal of public health》 |2017年第4期|共4页
作者
Brzoska Patrick; Sauzet Odile; Breckenkamp Jurgen;
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作者单位

Tech Univ Chemnitz Inst Sociol Fac Behav &

Social Sci Epidemiol Unit Chemnitz Germany;

Bielefeld Univ Sch Publ Hlth Dept Epidemiol &

Int Publ Hlth Bielefeld Germany;

Bielefeld Univ Sch Publ Hlth Dept Epidemiol &

Int Publ Hlth Bielefeld Germany;

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原文格式 PDF
正文语种 eng
中图分类保健组织与事业（卫生事业管理）;
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1. 2SUR回归模型系数估计的均方误差比较 [J] . 刘金山, 归庆明数学季刊（英文版） . 2000,第003期
2. Unobserved heterogeneity and the comparison of coefficients across nested logistic regression models: how to avoid comparing apples and oranges [J] . Brzoska Patrick, Sauzet Odile, Breckenkamp Jurgen International journal of public health . 2017,第4期

机译：不观察到的异质性和嵌套物流回归模型的系数的比较：如何避免比较苹果和橘子
3. Testing Inference from Logistic Regression Models in Data with Unobserved Heterogeneity at Cluster Levels [J] . Communications in Statistics - Simulation and Computation . 2009,第6期

机译：在集群级别测试具有不可观测异质性的数据中的逻辑回归模型的推理
4. Nested Unobserved Heterogeneity not Orthogonal to Regressors [J] . Lingxin Hao Quality and Quantity . 2004,第2期

机译：嵌套未观察到的异质性与回归变量不正交
5. Comparing Apples and Oranges: Taxonomy and Design of Pairwise Comparisons within Tabular Data [C] . Po-Ming Law, Subhajit Das, Rahul C. Basole ACM Conference on Human Factors in Computing Systems . 2019

机译：比较苹果和橘子：分类和表格数据中成对比较的设计
6. Essays on Nonparametric Identification: Identification of Dependent Multidimensional Unobserved Variables in a System of Linear Equations Identification and Estimation for Regressions with Errors in All Variables Identification of Nonparametrically Distributed Random Coefficients in Linear Panel Data Models. [D] . Ben-Moshe, Dan. 2012

机译：关于非参数识别的论文：线性方程组中相关多维多维观测变量的识别以及线性面板数据模型中非参数分布随机系数的所有变量中所有变量均具有误差的回归估计。
7. Beyond logistic regression: structural equations modelling for binary variables and its application to investigating unobserved confounders [O] . Emil Kupek 2006

机译：超越逻辑回归：二元变量的结构方程建模及其在调查未观察到的混杂因素中的应用
8. Testing Inference from Logistic Regression Models in Data with Unobserved Heterogeneity at Cluster Levels [O] . Ayis Salma 2009

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Unobserved heterogeneity and the comparison of coefficients across nested logistic regression models: how to avoid comparing apples and oranges

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