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How to Make Box and Whisker Plot for High-Impact Biomedical Data Analysis
Unlock the power of your clinical data with the Box and Whisker Plot! Learn the definitive step-by-step method for calculating the five-number summary—Min, Q1, Median, Q3, Max—and visualizing data distribution. From identifying critical outliers using the 1.5 x IQR rule to comparing drug efficacy in biomedical research, this guide is your key to superior data visualization that ranks and informs. Stop relying on means alone. Start seeing your data's true spread!
Dec 8, 20255 min read


Bonferroni vs. FDR: Multiple Hypothesis Testing in Biomedical Data Analysis
Running 10,000 gene expression tests? You might get 500 false positives by random chance. This is the "multiple hypothesis testing problem," and it's a critical flaw in modern biomedical research. The traditional fix, the Bonferroni correction, is so strict it often causing you to miss real discoveries. But a more powerful, modern method—the False Discovery Rate (FDR)—offers a revolutionary trade-off: what if you could control the proportion of false positives, not just the c
Nov 17, 20254 min read
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