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| Рандомизовано контролисано испитивање (РКИ)× | Metodologija površinskog odziva (RSM)× | |
|---|---|---|
| Oblast | Eksperimentalni dizajn | Eksperimentalni dizajn |
| Porodica | Hypothesis test | Hypothesis test |
| Godina nastanka≠ | 1948 | 1951 |
| Tvorac≠ | James Lind (early precursor, 1747); modern formulation: Austin Bradford Hill & Medical Research Council (1948) | George E. P. Box & K. B. Wilson |
| Tip≠ | Interventional comparative study | Second-order polynomial response surface model |
| Temeljni izvor≠ | Schulz, K.F., Altman, D.G., Moher, D., for the CONSORT Group (2010). CONSORT 2010 Statement: Updated Guidelines for Reporting Parallel Group Randomised Trials. BMJ, 340, c332. DOI ↗ | Box, G. E. P. & Wilson, K. B. (1951). On the experimental attainment of optimum conditions. Journal of the Royal Statistical Society, Series B, 13(1), 1–45. link ↗ |
| Drugi nazivi≠ | RCT, randomised controlled trial, clinical trial, Randomize Kontrollü Çalışma (RCT) Tasarımı | RSM, Central Composite Design, Box-Behnken Design, CCD |
| Srodne | 7 | 7 |
| Sažetak≠ | A randomized controlled trial (RCT) is the gold standard experimental design in clinical and health research, in which participants are randomly allocated to a treatment group or a control group so that the effect of an intervention can be measured with the highest possible degree of internal validity. The modern parallel-group RCT was formalized by Austin Bradford Hill and the Medical Research Council in their landmark streptomycin trial of 1948, and its reporting is governed today by the CONSORT 2010 guidelines (Schulz et al., 2010). | Response Surface Methodology is a collection of statistical and mathematical techniques for building an empirical second-order polynomial model that relates a continuous response variable to two or more controllable input factors, and then locating the factor settings that optimize that response. The approach was introduced by George E. P. Box and K. B. Wilson in their landmark 1951 paper and has since become a cornerstone of process optimization across engineering, chemistry, food science, and pharmaceutics. |
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