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A dose-response relationship connects an administered amount or exposure level with a defined biological response under specified conditions. Dose, dosing schedule, route and observation time all matter. Pharmacokinetics links administration to the concentration history, while pharmacodynamics links exposure with the response; a dose-response curve combines those influences.

Graded dose response describes the magnitude of a response, such as a measured change in activity. Quantal dose response describes the fraction of a population meeting a specified response criterion. Half of a maximum effect and a response in half of a population are different quantities; a midpoint parameter must say which is meant.

For an original graded-response illustration, a saturating Hill equation model isHere $E_{\max }$ is an increment above baseline, $d_{50}$ gives half that increment and $n>0$ controls the shape in the stipulated model. With $n=1$, $E_0=0$, $E_{\max }=100$ response units and $d_{50}=3$ arbitrary dose units, doses $1$, $3$ and $9$ produce effects $25$, $50$ and $75$. Tripling dose from $3$ to $9$ does not triple the response. These arbitrary values are a mathematical example, not a drug regimen.

Estimation requires a design that separates dose from other changing conditions. If dose is increased on successive days while the condition also improves over time, a rising response cannot automatically be attributed to dose. The primary ICH-E4 guidance explicitly discusses such titration/time confounding and distinguishes population-average from individual response curves.^[ref]

A controlled experiment specifies its endpoint, comparator, exposure interval and uncertainty. If the measured range never reaches a plateau, the fitted maximum and midpoint may be poorly determined. Desirable and undesirable responses can have different curves, so one endpoint’s midpoint does not summarize all consequences of exposure. The scientific purpose is a reproducible relationship for a stated endpoint and setting, rather than an assumption that more exposure must always be better.

Pharmacodynamics describes how a drug changes a biological system as a function of exposure. It connects target binding to a measured response, whereas pharmacokinetics describes the time course of exposure. A simple illustrative model iswhere $E_{max}$ is the maximum increment above baseline and $E{C}_{50}$ is the concentration producing half that increment. Doubling $C$ does not generally double the response. ^[ref]

Potency and maximal effect differ: two drugs can have different $E{C}_{50}$ values but the same $E_{max}$, or the same $E{C}_{50}$ but different maximal effects. Moreover, $E{C}_{50}$ need not equal a binding dissociation constant, because downstream amplification and measurement time also shape the response.