השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| ניסוי קרוסאובר רב-זרועי× | תכנון ריבוע לטיני וריבוע יווני-לטיני× | |
|---|---|---|
| תחום | תכנון ניסויים | תכנון ניסויים |
| משפחה≠ | Process / pipeline | Hypothesis test |
| שנת המקור≠ | Mid-20th century; multi-arm extensions formalized by 1970s–1980s | 1935 |
| הוגה השיטה≠ | Developed from early crossover trial methodology (Williams 1949; Cochran & Cox 1957) | Ronald A. Fisher |
| סוג≠ | Within-subject experimental design with multiple treatment arms | Parametric blocked ANOVA |
| מקור מכונן≠ | 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 |
| כינויים≠ | 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 |
| קשורות | 5 | 5 |
| תקציר≠ | 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. |
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