Structural Equation Modelling in Data Science and Biostatistics: Kolabtree Whitepaper

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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 analyse des données, and can be useful for human-resource management, marketing research, public policy-related studies, etc.
The whitepaper, published by Kolabtree, is authored by Dr. Tomoe Gusbertifreelance consultant scientifique sur Kolabtree. Offering research methodology et analyse des données services on Kolabtree, Tomoe comes from a pharmaceutical background, and also holds a doctorate in industrial engineering.
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, and enable its target readership;
–  to assess interrelated data found in the biomedical field;
– to assess the effectiveness of awareness campaigns (brand, health, sustainability, etc.)
–  to assess causality in marketing, human resource management, social and behavioural fields (often as survey analyses);
Download the free structural equation modelling whitepaper below.
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