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Testing Complex Social Theories With Causal Mediation Analysis and G-Computation: Toward a Better Way to Do Causal Structural Equation Modeling

机译：测试复杂的社会理论，具有因果调解分析和G-Computation：走向更好的方法来做因果结构方程式建模

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Krisztián Pósch;
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1. Partial Least Squares (PLS) Structural Equation Modeling (SEM) for Building and Testing Behavioral Causal Theory: When to Choose It and How to Use It [J] . Lowry P.B., Gaskin J. IEEE Transactions on Professional Communication . 2014,第2期

机译：建立和测试行为因果理论的偏最小二乘（PLS）结构方程模型（SEM）：何时选择它以及如何使用它
2. Mediation Analysis With Intermediate Confounding: Structural Equation Modeling Viewed Through the Causal Inference Lens [J] . De Stavola Bianca L., Daniel Rhian M., Ploubidis George B., American Journal of Epidemiology . 2015,第1期

机译：中间混杂的中介分析：通过因果推理镜头观察结构方程模型
3. Testing the Causal Mediation Component of Dodge's Social Information Processing Model of Social Competence and Depression [J] . Patrick Pössel, Simone Seemann, Stefanie Ahrens, Journal of Youth and Adolescence . 2006,第5期

机译：检验道奇社交能力和沮丧感社会信息处理模型的因果中介成分
4. Testing whether linear equations are causal: A free probability theory approach [C] . Jakob Zscheischler, Dominik Janzing, Kun Zhang Uncertainty in artificial intelligence . 2011

机译：测试线性方程是否因果：一种自由概率理论方法
5. The use of structural equation modeling to test a causal model relating key variables to compulsive eating and bulimia in undergraduate women [D] . Morris-Troiano, Barbara Ellen. 1991

机译：使用结构方程模型测试与女大学生强迫性进食和贪食症相关的关键变量的因果模型
6. Mediation Analysis With Intermediate Confounding: Structural Equation Modeling Viewed Through the Causal Inference Lens [O] . Bianca L. De Stavola, Rhian M. Daniel, George B. Ploubidis, -1

机译：中间混杂的中介分析：通过因果推理镜头观察结构方程模型
7. Mediation analysis with intermediate confounding: structural equation modeling viewed through the causal inference lens [O] . De Stavola Bianca L., Daniel Rhian, Ploubidis George B., 2015

机译：中间混淆的中介分析：通过因果推理透镜查看结构方程模型
8. Applications of Two-Stage Least Squares in Causal Analysis and Structural Equations. [R] . James, L. R., Singh, B. K. 1977

机译：两阶段最小二乘在因果分析和结构方程中的应用。

Testing Complex Social Theories With Causal Mediation Analysis and G-Computation: Toward a Better Way to Do Causal Structural Equation Modeling

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