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Structural Equation Modeling (SEM) with SPSS Analysis of Moment Structures (Amos) for Cause Effect Relationships in Pharmacodynamic Studies II (35 Patients)

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Machine Learning in Medicine - a Complete Overview

Abstract

In clinical efficacy studies the outcome is often influenced by multiple causal factors, like drug - noncompliance, frequency of counseling, and many more factors. Structural equation modeling (SEM) was only recently formally defined by Pearl (In: Causality, reason, and inference, Cambridge University Press, Cambridge UK 2000). This statistical methodology includes

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Cleophas, T.J., Zwinderman, A.H. (2015). Structural Equation Modeling (SEM) with SPSS Analysis of Moment Structures (Amos) for Cause Effect Relationships in Pharmacodynamic Studies II (35 Patients). In: Machine Learning in Medicine - a Complete Overview. Springer, Cham. https://doi.org/10.1007/978-3-319-15195-3_49

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