方法对比
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| 交叉随机对照试验× | 拉丁方设计与拉丁方-希腊方设计× | |
|---|---|---|
| 领域 | 实验设计 | 实验设计 |
| 方法族≠ | Process / pipeline | Hypothesis test |
| 起源年份≠ | 1960s (Grizzle 1965 for statistical foundations); widely used in clinical research since the 1970s | 1935 |
| 提出者≠ | Early formalized by statisticians including Bradford Hill and colleagues in clinical trials; theoretical framework developed by Grizzle (1965) and later Senn (2002) | Ronald A. Fisher |
| 类型≠ | Experimental within-subject design | Parametric blocked ANOVA |
| 开创性文献≠ | Senn, S. (2002). Cross-over Trials in Clinical Research (2nd ed.). Wiley. ISBN: 978-0471496533 | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443 |
| 别名≠ | crossover RCT, crossover trial, within-subject RCT, AB/BA crossover design | Latin Square, Greco-Latin Square, Latin Kare ve Greco-Latin Kare Deseni |
| 相关 | 5 | 5 |
| 摘要≠ | A crossover randomized controlled trial (crossover RCT) is an experimental design in which each participant receives all study interventions in a randomized sequence, separated by a washout period. Because every participant serves as their own control, within-subject variability is eliminated from the treatment comparison, yielding greater statistical power per participant than a parallel-group RCT of equal size. | The Latin square design is a blocked experimental design that simultaneously controls two independent nuisance factors — the row block and the column block — so that each treatment appears exactly once in every row and every column of an n×n arrangement. Formalised by Ronald A. Fisher in his 1935 monograph The Design of Experiments, the design dramatically reduces experimental error by absorbing variation from two extraneous sources before the treatment effects are estimated. |
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