Comparer des méthodes

	Expérience factorielle pilote	Essai contrôlé randomisé (ECR)	Méthodologie des surfaces de réponse (RSM)
Domaine	Plans d'expériences	Plans d'expériences	Plans d'expériences
Famille	Process / pipeline	Hypothesis test	Hypothesis test
Année d'origine	1930s (Fisher); pilot application conventions developed mid-20th century	1948	1951
Auteur d'origine	R. A. Fisher (factorial design foundations); formalized in experimental statistics literature	James Lind (early precursor, 1747); modern formulation: Austin Bradford Hill & Medical Research Council (1948)	George E. P. Box & K. B. Wilson
Type	Preliminary experimental design	Interventional comparative study	Second-order polynomial response surface model
Source fondatrice	Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478	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.	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.
Alias	preliminary factorial study, pilot factorial design, small-scale factorial trial, feasibility factorial experiment	RCT, randomised controlled trial, clinical trial, Randomize Kontrollü Çalışma (RCT) Tasarımı	RSM, Central Composite Design, Box-Behnken Design, CCD
Apparentées	2	7	7
Résumé	A pilot factorial experiment is a small-scale, preliminary study that employs a factorial structure to simultaneously vary two or more factors across a limited number of experimental units. Its purpose is not to deliver definitive conclusions but to estimate effect sizes, within-group variance, and factor interactions, and to test logistical feasibility before committing resources to a full-scale factorial experiment. It is widely used in behavioral sciences, engineering, agriculture, and clinical research as an essential planning step.	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.