Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Експеримент з перехресним дизайном з багатьма групами× | Латинський квадрат та греко-латинський квадрат× | |
|---|---|---|
| Галузь | Планування експерименту | Планування експерименту |
| Родина≠ | Process / pipeline | Hypothesis test |
| Рік появи≠ | Mid-20th century; multi-arm extensions formalized by 1970s–1980s | 1935 |
| Автор методу≠ | Developed from early crossover trial methodology (Williams 1949; Cochran & Cox 1957) | Ronald A. Fisher |
| Тип≠ | Within-subject experimental design with multiple treatment arms | Parametric blocked ANOVA |
| Основоположне джерело≠ | Jones, B., & Kenward, M. G. (2003). Design and Analysis of Cross-Over Trials (2nd ed.). Chapman and Hall/CRC. ISBN: 978-1584883869 | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443 |
| Інші назви≠ | multi-arm crossover trial, multi-period multi-treatment crossover, CMAT, multi-treatment crossover experiment | Latin Square, Greco-Latin Square, Latin Kare ve Greco-Latin Kare Deseni |
| Пов'язані | 5 | 5 |
| Підсумок≠ | A crossover multi-arm experiment is a within-subject experimental design in which each participant receives three or more treatments (arms) across successive periods, with random assignment to sequence. Because every participant experiences all arms, the design eliminates between-subject variability from treatment comparisons, dramatically increasing statistical power for a given sample size. It is widely used in clinical pharmacology, psychology, agriculture, and behavioral research. | 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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