Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Jaribio Kontroli la Kubadilika kwa Kubahatisha (Adaptive RCT)× | Jaribio linalobadilika× | |
|---|---|---|
| Nyanja | Muundo wa Majaribio | Muundo wa Majaribio |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 1980s–2000s (formalized; earlier sequential testing roots from Wald, 1947) | 1940s–1970s (sequential foundations); formalised in clinical and behavioural research by 1980s–2000s |
| Mwanzilishi≠ | Donald Berry and others; foundational adaptive trial methods developed through 1980s–2000s biostatistics literature | Abraham Wald (sequential analysis foundation); expanded by Robbins, Armitage, and others |
| Aina≠ | Experimental design — adaptive variant of RCT | Experimental research design |
| Chanzo asilia≠ | Chow, S.-C., & Chang, M. (2008). Adaptive Design Methods in Clinical Trials. Chapman & Hall/CRC. ISBN: 978-1584887690 | Chow, S. C., & Chang, M. (2008). Adaptive Design Methods in Clinical Trials. Chapman and Hall/CRC. ISBN: 978-1584886761 |
| Majina mbadala | Adaptive RCT, Response-adaptive RCT, Adaptive clinical trial, Platform trial | adaptive design, response-adaptive randomization, adaptive trial, adaptive randomization |
| Zinazohusiana≠ | 6 | 5 |
| Muhtasari≠ | 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. | An adaptive experiment is an experimental design in which pre-specified rules allow the protocol to be modified — such as reallocating participants to better-performing arms, stopping early for efficacy or futility, or changing sample size — based on accumulating interim data, while maintaining statistical validity. Adaptive designs are widely used in clinical trials, behavioural economics, and online platform testing to improve efficiency and ethics without sacrificing inferential rigour. |
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