विधियों की तुलना करें

	खुराक-प्रतिक्रिया प्रायोगिक अभिकल्पना एवं विश्लेषण	एक-तरफ़ा विचरण विश्लेषण
क्षेत्र	प्रयोगात्मक अभिकल्प	सांख्यिकी
परिवार	Hypothesis test	Hypothesis test
उद्भव वर्ष	1994	1925
प्रवर्तक	Classical pharmacology; formalized by ICH E4 (1994) and Ritz et al. (2015)	Ronald A. Fisher
प्रकार	Nonlinear curve fitting and monotone contrast testing	Parametric mean comparison
मौलिक स्रोत	Ritz, C., Baty, F., Streibig, J. C., & Gerhard, D. (2015). Dose-Response Analysis Using R. PLOS ONE, 10(12), e0146021.	Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd.
उपनाम	dose-response analysis, dose-response curve, Doz-Yanıt Tasarımı ve Analizi (Dose-Response), ED50 analysis	one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
संबंधित	4	4
सारांश	Dose-response design is a framework for planning and analysing experiments that characterise the relationship between the amount of a stimulus — such as a drug dose or a chemical concentration — and the magnitude of a biological or physiological response. Formalised in regulatory guidance by the ICH E4 guideline (1994) and extensively developed in the statistical literature by Ritz et al. (2015), the framework covers experiment design, four-parameter and five-parameter logistic curve fitting, key benchmark estimates (ED50/EC50, NOAEL, LOAEL), and monotone trend testing via the Williams procedure.	One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925.