Structural Equation Modelling in Data Science and Biostatistics: Kolabtree Whitepaper

Structural Equation Modelling or (SEM) is a modern multivariate analysis method useful for complex and interrelated data. It’s significance lies in the analysis of medical/health-related data and survey データ分析, and can be useful for human-resource management, marketing research, public policy-related studies, etc.
The structural equation modelling whitepaper, published by コラブツリー, is authored by Dr. Tomoe Gusberti、フリーランス 科学コンサルタントコラブツリー。 Offering research methodology そして データ分析 services on コラブツリー, Tomoe comes from a pharmaceutical background, and also holds a doctorate in industrial engineering.
Download the free whitepaper below

The whitepaper, focusing on structural equation modelling, comprises a narrative that seeks to illustrate the variety of applications alongside the major concepts like mediation and moderation.
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