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Delves into measuring learning effects in digital education and analytics, covering research questions, variables, experimental design, and bias solutions.
Explores the challenges of multiple testing in genomic data analysis, covering error rate control, adjusted p-values, permutation tests, and pitfalls in hypothesis testing.
