Discover the Latest in Biomedical Research Innovation

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.

Your treated and control wells started at different confluence, so comparing endpoints with a plain ANOVA measures your treatment effect plus the head start. ANCOVA fixes that by adjusting for a continuous covariate, and usually buys power too. This step-by-step ANCOVA protocol runs 24 numbered steps from covariate choice through reporting, with the assumption checks in the order they need to happen, including the parallel-slopes test most people skip.

Unlock the power of your biomedical data! Dose-response curves are vital, but non-linear relationships demand sophisticated analysis. This guide demystifies non-linear regression using GraphPad Prism. Learn to choose the right model, understand key parameters, set crucial constraints, and interpret results like confidence intervals and R². We cover data prep, global fitting for complex scenarios, and troubleshooting common issues like ambiguous fits. Master Prism for accurate

Unlock the power of your cell viability data! This guide demystifies the two most critical metrics in dose-response analysis: IC 50 ​ and EC 50 ​ . Discover the key difference between measuring inhibition (IC 50 ​ ) and activation (EC 50 ​ ), learn the step-by-step process for calculating these values, and see how they reveal the synergistic power of combination therapies.