विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| अनुकूली नियंत्रण समूह प्रायोगिक डिजाइन× | अनुकूली यादृच्छिक नियंत्रित परीक्षण× | |
|---|---|---|
| क्षेत्र | प्रयोगात्मक अभिकल्प | प्रयोगात्मक अभिकल्प |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 1994 (formal adaptive framework); wider adoption 2000s–2010s | 1980s–2000s (formalized; earlier sequential testing roots from Wald, 1947) |
| प्रवर्तक≠ | Peter Bauer and Klaus Kohne (adaptive interim analysis framework, 1994); broader adaptive design methodology developed by Scott Chow and Mark Chang | Donald Berry and others; foundational adaptive trial methods developed through 1980s–2000s biostatistics literature |
| प्रकार≠ | Adaptive experimental design | Experimental design — adaptive variant of RCT |
| मौलिक स्रोत≠ | Chow, S.-C., & Chang, M. (2008). Adaptive Design Methods in Clinical Trials. Chapman and Hall/CRC. ISBN: 978-1584886760 | Chow, S.-C., & Chang, M. (2008). Adaptive Design Methods in Clinical Trials. Chapman & Hall/CRC. ISBN: 978-1584887690 |
| उपनाम | adaptive controlled experiment, adaptive two-arm controlled design, adaptive parallel-group design, flexible controlled trial design | Adaptive RCT, Response-adaptive RCT, Adaptive clinical trial, Platform trial |
| संबंधित≠ | 4 | 6 |
| सारांश≠ | An adaptive control group experimental design is an experiment that assigns participants to at least one treatment arm and one concurrent control group, while allowing pre-specified modifications to the trial — such as sample size re-estimation, early stopping, or allocation ratio changes — based on accumulating data. Adaptations are governed by decision rules established before the study begins, preserving Type I error control while improving efficiency. | 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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