Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Adaptīvs eksperimentāls dizains ar pirms un pēc testa mērījumiem× | Adaptīvs randomizēts kontrolēts pētījums× | |
|---|---|---|
| Nozare | Eksperimentu plānošana | Eksperimentu plānošana |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 2000s (integration of adaptive principles with classic pre-post structure) | 1980s–2000s (formalized; earlier sequential testing roots from Wald, 1947) |
| Autors≠ | Synthesizes Campbell & Stanley (1963) pretest-posttest framework with adaptive design methodology formalized by Chow & Chang (2000s) | Donald Berry and others; foundational adaptive trial methods developed through 1980s–2000s biostatistics literature |
| Tips≠ | Experimental design | Experimental design — adaptive variant of RCT |
| Pirmavots≠ | Campbell, D. T., & Stanley, J. C. (1963). Experimental and Quasi-Experimental Designs for Research. Rand McNally. link ↗ | Chow, S.-C., & Chang, M. (2008). Adaptive Design Methods in Clinical Trials. Chapman & Hall/CRC. ISBN: 978-1584887690 |
| Citi nosaukumi | adaptive pre-post design, adaptive pretest-posttest trial, adaptive two-period design, pre-post adaptive experiment | Adaptive RCT, Response-adaptive RCT, Adaptive clinical trial, Platform trial |
| Saistītās | 6 | 6 |
| Kopsavilkums≠ | An adaptive pretest-posttest experimental design measures all participants before and after an intervention while allowing pre-specified modifications to the trial — such as sample size re-estimation, treatment arm dropping, or randomization ratio adjustment — based on accumulated interim data. It combines the interpretive power of change-score analysis with the efficiency gains and ethical safeguards of adaptive methodology, making it particularly valuable in clinical, educational, and behavioral research where early data can inform better resource allocation. | 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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