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领域实验设计实验设计
方法族Process / pipelineProcess / pipeline
起源年份Factorial design: 1926; single-blinding as systematic practice: mid-20th century1948 (formalized); single-blind variant established in mid-20th century clinical trial methodology
提出者Fisher, R. A. (factorial design); blinding practices formalized in clinical trials literature (20th century)Bradford Hill and colleagues (MRC streptomycin trial, 1948); blinding conventions codified in CONSORT guidelines
类型Controlled experimental designExperimental design — blinded randomized trial
开创性文献Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478Schulz, K. F., Altman, D. G., Moher, D., & CONSORT Group. (2010). CONSORT 2010 statement: Updated guidelines for reporting parallel group randomised trials. BMJ, 340, c332. DOI ↗
别名single-masked factorial trial, single-blind factorial design, SB factorial experimentsingle-masked RCT, single-blind RCT, single-blind trial, SB-RCT
相关55
摘要A single-blind factorial experiment combines factorial design — simultaneously varying two or more independent factors across all their level combinations — with single-blinding, in which participants are unaware of which treatment condition they have been assigned to while researchers and administrators remain unmasked. This design enables efficient estimation of main effects and interactions while reducing participant-side response bias.A single-blind randomized controlled trial (SB-RCT) is a rigorous experimental design in which participants are randomly assigned to treatment or control conditions while remaining unaware of which condition they have received. Investigators, outcome assessors, and data analysts are not blinded. By masking participants, the design eliminates placebo and nocebo response biases on the participant side, while preserving investigator flexibility to administer and monitor the intervention.
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ScholarGate方法对比: Single-blind Factorial Experiment · Single-blind Randomized Controlled Trial. 于 2026-06-18 检索自 https://scholargate.app/zh/compare