Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Experimento adaptativo doble ciego× | Ensayo Controlado Aleatorizado Adaptativo× | |
|---|---|---|
| Campo | Diseño experimental | Diseño experimental |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | Conceptual roots 1970s–1990s; regulatory codification 2004–2019 | 1980s–2000s (formalized; earlier sequential testing roots from Wald, 1947) |
| Autor original≠ | Formalized through FDA adaptive design guidance and work by Scott Berry, Donald Berry, and colleagues | Donald Berry and others; foundational adaptive trial methods developed through 1980s–2000s biostatistics literature |
| Tipo≠ | Experimental design combining blinding and adaptive modification | Experimental design — adaptive variant of RCT |
| Fuente seminal≠ | U.S. Food and Drug Administration. (2019). Adaptive Designs for Clinical Trials of Drugs and Biologics: Guidance for Industry. FDA. link ↗ | Chow, S.-C., & Chang, M. (2008). Adaptive Design Methods in Clinical Trials. Chapman & Hall/CRC. ISBN: 978-1584887690 |
| Alias | double-blind adaptive design, blinded adaptive trial, double-blind adaptive RCT, adaptive double-blind study | Adaptive RCT, Response-adaptive RCT, Adaptive clinical trial, Platform trial |
| Relacionados≠ | 4 | 6 |
| Resumen≠ | A double-blind adaptive experiment combines two powerful design features: double-blinding, which conceals treatment assignment from both participants and outcome assessors to prevent bias, and adaptive modification, which allows pre-specified changes to the trial's course — such as sample size re-estimation, allocation ratio shifts, or arm dropping — based on accumulating interim data. The result is a rigorous, bias-protected design that can respond to emerging evidence without compromising inferential validity. | 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. |
| ScholarGateConjunto de datos ↗ |
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