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| Thiết kế thử nghiệm nhóm đối chứng chéo× | Thiết kế Thí nghiệm Nhóm Đối chứng× | |
|---|---|---|
| Lĩnh vực | Thiết kế thí nghiệm | Thiết kế thí nghiệm |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | Mid-20th century; systematic treatment from 1980s onward | 1935 (Fisher); 1963 (Campbell & Stanley codification) |
| Người khởi xướng≠ | Established in clinical pharmacology and agricultural research; formalized by B. Jones & M. G. Kenward | Ronald A. Fisher; systematised by Donald T. Campbell & Julian C. Stanley |
| Loại≠ | Experimental design | Experimental research design |
| Công trình gốc≠ | Jones, B., & Kenward, M. G. (2003). Design and Analysis of Cross-Over Trials (2nd ed.). Chapman and Hall/CRC. ISBN: 978-1584883500 | Campbell, D. T., & Stanley, J. C. (1963). Experimental and Quasi-Experimental Designs for Research. Rand McNally. link ↗ |
| Tên gọi khác | crossover controlled trial, within-subject crossover with control, AB/BA crossover controlled design, repeated-measures crossover with control arm | controlled experiment, true experimental design, randomized controlled design, treatment-control design |
| Liên quan≠ | 6 | 4 |
| Tóm tắt≠ | A crossover control group experimental design is an experimental approach in which participants are randomly assigned to sequences of conditions that include both a treatment and a control (no-treatment or placebo) period, with each participant experiencing both the experimental and control conditions in succession. By using each participant as their own control across periods, this design sharply reduces between-subject variability and typically requires fewer participants than parallel group trials to achieve equivalent statistical power. | Control group experimental design is a fundamental experimental structure in which participants are assigned to at least two groups — a treatment group that receives the intervention and a control group that does not — so that the effect of the intervention can be isolated by comparing outcomes across groups. Randomisation of assignment strengthens causal inference by balancing known and unknown confounders. |
| ScholarGateBộ dữ liệu ↗ |
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