Σύγκριση μεθόδων
Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.
| Πειραματική Μελέτη Προσαρμοστικού Πεδίου× | Προσαρμοστική Τυχαιοποιημένη Ελεγχόμενη Δοκιμή× | |
|---|---|---|
| Πεδίο | Πειραματικός Σχεδιασμός | Πειραματικός Σχεδιασμός |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 1990s–2000s (formalized in field economics and development research contexts) | 1980s–2000s (formalized; earlier sequential testing roots from Wald, 1947) |
| Δημιουργός≠ | Developed at the intersection of adaptive trial methodology (Berry, Bauer) and field experimentation (Duflo, Kremer, List) | Donald Berry and others; foundational adaptive trial methods developed through 1980s–2000s biostatistics literature |
| Τύπος≠ | Adaptive experimental design conducted in naturalistic settings | Experimental design — adaptive variant of RCT |
| Θεμελιώδης πηγή≠ | Berry, D. A. (2004). Bayesian statistics and the efficiency and ethics of clinical trials. Statistical Science, 19(1), 175–187. DOI ↗ | Chow, S.-C., & Chang, M. (2008). Adaptive Design Methods in Clinical Trials. Chapman & Hall/CRC. ISBN: 978-1584887690 |
| Εναλλακτικές ονομασίες | adaptive field trial, sequentially adaptive field experiment, responsive field experiment, adaptive randomized field study | Adaptive RCT, Response-adaptive RCT, Adaptive clinical trial, Platform trial |
| Συναφείς | 6 | 6 |
| Σύνοψη≠ | An adaptive field experiment is a randomized study conducted in a real-world environment in which pre-specified decision rules allow the researcher to modify the trial as interim data accumulate — for example, by reallocating participants toward more effective arms, adjusting sample size, or stopping early for efficacy or futility — all while maintaining statistical integrity. | An adaptive randomized controlled trial (adaptive RCT) is an experimental design in which pre-specified rules allow modifications to the trial while it is ongoing — such as changing allocation ratios, dropping underperforming arms, or stopping early for efficacy or futility — based on accumulating interim data. These adaptations are planned before the trial starts and governed by statistical rules to preserve Type I error control and validity. |
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