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| Adaptives Feldexperiment – Sequenzielle Anpassung in natürlichen Umgebungen× | Adaptives Experiment× | |
|---|---|---|
| Fachgebiet | Versuchsplanung | Versuchsplanung |
| Familie | Process / pipeline | Process / pipeline |
| Entstehungsjahr≠ | 1990s–2000s (formalized in field economics and development research contexts) | 1940s–1970s (sequential foundations); formalised in clinical and behavioural research by 1980s–2000s |
| Urheber≠ | Developed at the intersection of adaptive trial methodology (Berry, Bauer) and field experimentation (Duflo, Kremer, List) | Abraham Wald (sequential analysis foundation); expanded by Robbins, Armitage, and others |
| Typ≠ | Adaptive experimental design conducted in naturalistic settings | Experimental research design |
| Wegweisende Quelle≠ | 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 and Hall/CRC. ISBN: 978-1584886761 |
| Aliasnamen | adaptive field trial, sequentially adaptive field experiment, responsive field experiment, adaptive randomized field study | adaptive design, response-adaptive randomization, adaptive trial, adaptive randomization |
| Verwandt≠ | 6 | 5 |
| Zusammenfassung≠ | 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 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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