Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Перехресне рандомізоване контрольоване дослідження× | Латинський квадрат та греко-латинський квадрат× | |
|---|---|---|
| Галузь | Планування експерименту | Планування експерименту |
| Родина≠ | Process / pipeline | Hypothesis test |
| Рік появи≠ | 1960s (Grizzle 1965 for statistical foundations); widely used in clinical research since the 1970s | 1935 |
| Автор методу≠ | 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 |
| Тип≠ | Experimental within-subject design | Parametric blocked ANOVA |
| Основоположне джерело≠ | 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 |
| Інші назви≠ | crossover RCT, crossover trial, within-subject RCT, AB/BA crossover design | Latin Square, Greco-Latin Square, Latin Kare ve Greco-Latin Kare Deseni |
| Пов'язані | 5 | 5 |
| Підсумок≠ | 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. |
| ScholarGateНабір даних ↗ |
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