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What is Longitudinal Data Analysis in Gene Therapy about?

This article discusses the statistical challenges in analyzing longitudinal data for treatment efficacy studies in biomedical research. It highlights the inadequacies of common methods like ANOVA and advocates for mixed effects models, which better utilize data and account for correlations within experimental units. The authors emphasize the importance of proper multiple comparison adjustments to avoid inflated false positivity rates in post hoc testing.

Author

Siti Nur Azizah

Language

EN