Σύγκριση μεθόδων

	Σχεδιασμός και Ανάλυση Πειραμάτων Δόσης-Απόκρισης	ANOVA επαναλαμβανόμενων μετρήσεων
Πεδίο	Πειραματικός Σχεδιασμός	Στατιστική
Οικογένεια	Hypothesis test	Hypothesis test
Έτος προέλευσης	1994	1992
Δημιουργός	Classical pharmacology; formalized by ICH E4 (1994) and Ritz et al. (2015)	Girden (textbook treatment); Field (2013)
Τύπος	Nonlinear curve fitting and monotone contrast testing	Parametric within-subjects mean comparison
Θεμελιώδης πηγή	Ritz, C., Baty, F., Streibig, J. C., & Gerhard, D. (2015). Dose-Response Analysis Using R. PLOS ONE, 10(12), e0146021.	Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185
Εναλλακτικές ονομασίες	dose-response analysis, dose-response curve, Doz-Yanıt Tasarımı ve Analizi (Dose-Response), ED50 analysis	within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA
Συναφείς	4	4
Σύνοψη	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.	Repeated-measures ANOVA is a parametric hypothesis test that compares three or more measurements taken from the same individuals — typically across time points or conditions — to decide whether their means differ. It extends one-way ANOVA to within-subjects designs, as treated in standard references such as Girden (1992) and Field (2013).