Adaptive Trial Design
An adaptive trial design allows pre-specified modifications to the trial based on interim data—such as sample size re-estimation, stopping for futility or efficacy, dropping ineffective arms, or shifting randomization ratios toward better-performing treatments. Developed systematically in the 1990s–2000s by statisticians like Pocock and Jennison, and formalized by the FDA in 2019, adaptive designs accelerate drug development, reduce exposure to ineffective treatments, and improve efficiency without inflating false-positive rates when properly executed.
Registro de origen
Citas copiadas textualmente del registro de origen del método. No se infiere ninguna verificación a nivel de afirmación de ellas.
- Pocock, S. J. (2005). Current issues in the design and interpretation of clinical trials. BMJ, 330(7500), 1118–1121. · URL
- Pallmann, P., Bedding, A. W., Choodari-Oskooei, B., Dimairo, M., Flight, L., Hampson, L. V., ... & Wason, J. (2018). Adaptive designs in clinical trials: why use them, and how to run and report them. BMC Medicine, 16(1), 29. · DOI 10.1186/s12916-018-1017-7
- FDA (2019). Adaptive Designs for Clinical Trials of Drugs and Biologics: Guidance for Industry. US Food and Drug Administration. · URL
Afirmaciones curadas
Afirmaciones persistidas en el libro mayor de evidencia, cada una con su propia evaluación.
Esta vista no inventa una evaluación de afirmación si el libro mayor no tiene ninguna.
Métodos relacionados
Generado a partir del grafo de métodos y mostrado como relaciones sugeridas por la máquina; no se infiere ninguna afirmación de evidencia.