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Most bench scientists reach for a t-test or ANOVA by reflex, but plenty of real experiments have a continuous dose, groups that differ at baseline, or nuisance variation eating the power. Multiple regression handles all three, and ANOVA and ANCOVA turn out to be special cases of it. This guide covers when regression earns its place, how to read coefficients honestly, the two covariate mistakes that invalidate an analysis, and why dose-response needs a 4PL curve, not a line.

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!