পদ্ধতির তুলনা করুন

	ডোজ-রেসপন্স পরীক্ষামূলক নকশা এবং বিশ্লেষণ	পুনরাবৃত্ত-ব্যবস্থা ANOVA
ক্ষেত্র	পরীক্ষামূলক নকশা	পরিসংখ্যান
পরিবার	Hypothesis test	Hypothesis test
উদ্ভবের বছর	1994	1992
প্রবর্তক	Classical pharmacology; formalized by ICH E4 (1994) and Ritz et al. (2015)	Girden (textbook treatment); Field (2013)
ধরন	Nonlinear curve fitting and monotone contrast testing	Parametric within-subjects mean comparison
মৌলিক উৎস	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
অপর নাম	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
সম্পর্কিত	4	4
সারসংক্ষেপ	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).