Krahasoni metodat

	Dizajni dhe Analiza Eksperimentale Dozë-Përgjigje	Regresioni logjistik
Fusha	Dizajni eksperimental	Statistika e hulumtimit
Familja	Hypothesis test	Process / pipeline
Viti i origjinës	1994	1958
Krijuesi	Classical pharmacology; formalized by ICH E4 (1994) and Ritz et al. (2015)	David Roxbee Cox
Lloji	Nonlinear curve fitting and monotone contrast testing	Method
Burimi themelues	Ritz, C., Baty, F., Streibig, J. C., & Gerhard, D. (2015). Dose-Response Analysis Using R. PLOS ONE, 10(12), e0146021.	Cox, D. R. (1958). The regression analysis of binary sequences. Journal of the Royal Statistical Society, Series B, 20(2), 215–242.
Emërtime të tjera	dose-response analysis, dose-response curve, Doz-Yanıt Tasarımı ve Analizi (Dose-Response), ED50 analysis	logit model, binomial logistic regression, LR
Të lidhura	4	3
Përmbledhja	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.	Logistic regression is a statistical method for modeling the probability of a binary outcome (disease present/absent, success/failure) as a function of continuous and categorical predictors. Developed by David Roxbee Cox (1958), it solves the problem of predicting categorical outcomes by applying a logistic transformation to constrain predictions to the [0,1] probability interval, enabling accurate risk stratification, diagnostic prediction, and causal inference in epidemiology, medicine, and social science.