Dose-Response Curve Fitting In Minutes

The method, in full

The practical guide behind this tool: when it applies, how to read the output, and the traps that make it say the wrong thing.

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What's in the report?

Standard-library analysis: how does response change with dose or intensity? Map a dose column and a response column and get a four-parameter logistic (4PL) curve fitted by nonlinear least squares — the low-dose plateau, the high-dose plateau, the Hill slope, and the EC50 (or IC50 when the response falls) as the headline, each with a 95% confidence interval. The fitted curve is drawn over the observed points on a properly handled log-dose axis with zero-dose controls shown separately, backed by residual diagnostics including a replicate-based lack-of-fit test, and compared against a baseline-constrained 3PL and a plain log-linear model so a sparse design is not locked into an over-parameterised curve. If the curve cannot be fitted, the analysis says so with a diagnosis instead of substituting a straight line.