Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Jaribio Lililobadilika kwa Kubahatisha kwa Ngeli× | Jaribio Kontroli la Kubadilika kwa Kubahatisha (Adaptive RCT)× | |
|---|---|---|
| Nyanja | Muundo wa Majaribio | Muundo wa Majaribio |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 2000s–2010s | 1980s–2000s (formalized; earlier sequential testing roots from Wald, 1947) |
| Mwanzilishi≠ | Synthesised from cluster randomization methodology (Donner, 1978; Donner & Klar, 2000) and adaptive design frameworks (Bauer & Kohne, 1994; Pallmann et al., 2018) | Donald Berry and others; foundational adaptive trial methods developed through 1980s–2000s biostatistics literature |
| Aina≠ | Experimental design | Experimental design — adaptive variant of RCT |
| Chanzo asilia≠ | Hayes, R. J., & Moulton, L. H. (2017). Cluster Randomised Trials (2nd ed.). CRC Press / Chapman & Hall. ISBN: 978-1498728225 | Chow, S.-C., & Chang, M. (2008). Adaptive Design Methods in Clinical Trials. Chapman & Hall/CRC. ISBN: 978-1584887690 |
| Majina mbadala | adaptive cluster RCT, adaptive group-randomized trial, cluster adaptive design, adaptive cluster trial | Adaptive RCT, Response-adaptive RCT, Adaptive clinical trial, Platform trial |
| Zinazohusiana≠ | 5 | 6 |
| Muhtasari≠ | A cluster randomized adaptive experiment combines two methodological principles: (1) intact groups such as schools, clinics, or villages are randomly assigned to treatment conditions rather than individuals, and (2) pre-specified rules allow the design to be modified during the trial based on accumulating cluster-level data. Adaptations may include dropping underperforming arms, reallocating clusters, or adjusting sample size, while maintaining statistical validity and controlling Type I error. | 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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