Σύγκριση μεθόδων
Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.
| Σχεδιασμός τυχαιοποιημένης ελεγχόμενης δοκιμής με διασταύρωση× | Σχεδιασμός Τετραγώνου Λατίνου και Τετραγώνου Ελληνο-Λατίνου× | |
|---|---|---|
| Πεδίο | Πειραματικός Σχεδιασμός | Πειραματικός Σχεδιασμός |
| Οικογένεια≠ | Process / pipeline | Hypothesis test |
| Έτος προέλευσης≠ | 1960s (Grizzle 1965 for statistical foundations); widely used in clinical research since the 1970s | 1935 |
| Δημιουργός≠ | 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 |
| Τύπος≠ | Experimental within-subject design | Parametric blocked ANOVA |
| Θεμελιώδης πηγή≠ | 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 |
| Εναλλακτικές ονομασίες≠ | crossover RCT, crossover trial, within-subject RCT, AB/BA crossover design | Latin Square, Greco-Latin Square, Latin Kare ve Greco-Latin Kare Deseni |
| Συναφείς | 5 | 5 |
| Σύνοψη≠ | 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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