পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| ইম্যাক্স মডেল: ফার্মাকোডাইনামিক ডোজ-রেসপন্স বিশ্লেষণ× | ডোজ-রেসপন্স পরীক্ষামূলক নকশা এবং বিশ্লেষণ× | |
|---|---|---|
| ক্ষেত্র≠ | ভেষজমিতি | পরীক্ষামূলক নকশা |
| পরিবার≠ | Regression model | Hypothesis test |
| উদ্ভবের বছর≠ | 1981 | 1994 |
| প্রবর্তক≠ | Holford & Sheiner | Classical pharmacology; formalized by ICH E4 (1994) and Ritz et al. (2015) |
| ধরন≠ | Nonlinear dose-response regression model | Nonlinear curve fitting and monotone contrast testing |
| মৌলিক উৎস≠ | Holford, N. H. G., & Sheiner, L. B. (1981). Understanding the dose-effect relationship: clinical application of pharmacokinetic-pharmacodynamic models. Clinical Pharmacokinetics, 6(6), 429–453. DOI ↗ | Ritz, C., Baty, F., Streibig, J. C., & Gerhard, D. (2015). Dose-Response Analysis Using R. PLOS ONE, 10(12), e0146021. DOI ↗ |
| অপর নাম≠ | Maximum Effect Model, Hyperbolic Emax Model, Sigmoidal Emax Model, Emax Farmakodynamik Modeli | dose-response analysis, dose-response curve, Doz-Yanıt Tasarımı ve Analizi (Dose-Response), ED50 analysis |
| সম্পর্কিত≠ | 2 | 4 |
| সারসংক্ষেপ≠ | The Emax model is a nonlinear pharmacodynamic model that describes the relationship between drug concentration and biological effect. Introduced by Holford and Sheiner in 1981, it characterizes dose-response curves using three fundamental parameters: the maximum achievable effect (Emax), the concentration producing half-maximal effect (EC50), and an optional baseline effect (E0). It remains the standard framework in clinical pharmacology and drug development for quantifying pharmacodynamic dose-response relationships. | 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. |
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