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Reviewers examining 100 clinical papers found 65% needed revisions just to explain what their statistical tests were for, and 64% had omitted effect sizes entirely. Statistical reporting problems are rarely about running the wrong analysis; they're about not writing down enough for a reader to judge it. Here's what belongs in the section, built on the SAMPL guidelines: seven things to state in your methods, the results formats that draw fewest queries, and a template you can

Struggling to choose the right cell viability assay for your next High-Throughput Screen? Stop guessing. We’ve analyzed data from NCBI, top journals, and real-world user feedback to rank the top assays. Whether you need the extreme sensitivity of ATP luminescence or the cost-effectiveness of Resazurin, this guide breaks down the Z-factors, workflows, and "gotchas" of the most popular methods. Say goodbye to the wash-step variability of MTT and discover the gold standard for H

Struggling with ELISA results? You might be a victim of the "Hook Effect." It’s the paradox where too much target protein creates a false negative signal, destroying your data. Don't panic—the fix is often as simple as a paradoxical dilution. Our Ultimate Guide covers the difference between Prozone and Hook effects, why One-Step assays are vulnerable, and the exact Two-Step protocol to save your experiment. Stop throwing away positive samples!