방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 교차 단일 대상 실험 설계× | N-of-1 임상시험× | |
|---|---|---|
| 분야≠ | 실험설계 | 임상연구 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1970s–1980s (single-case crossover formalized in behavioral research context) | 1990s-2010s |
| 창시자≠ | Developed within the single-case research tradition; crossover application formalized by Barlow and Hersen and expanded by Kazdin | Kravitz, Duan, Vohra, and single-patient methodology pioneers |
| 유형≠ | Experimental single-subject design | Research Design |
| 원전≠ | Kazdin, A. E. (2011). Single-Case Research Designs: Methods for Clinical and Applied Settings (2nd ed.). Oxford University Press. ISBN: 978-0195341881 | Gabler, N. B., Duan, N., Vohra, S., & Kravitz, R. L. (2011). N-of-1 trials in the medical literature: a systematic review. Medical Care, 49(8), 761–768. DOI ↗ |
| 별칭 | crossover SSED, alternating-treatments crossover design, single-case crossover design, N-of-1 crossover design | single-patient RCT, n=1 trial, individual RCT, crossover n-of-1 |
| 관련≠ | 4 | 3 |
| 요약≠ | The crossover single-subject experimental design (crossover SSED) applies two or more treatment conditions sequentially to the same individual, with a washout or return-to-baseline period between conditions. Because each participant serves as their own control, between-subject variability is eliminated, enabling precise causal inference about treatment effects even with very small samples — often a single participant. This design is widely used in applied behavior analysis, special education, rehabilitation, and clinical psychology. | An N-of-1 trial is a single-patient randomized controlled trial in which a patient alternates between treatment A and treatment B (or active drug and placebo) in repeated, randomized cross-over periods. Developed systematically in the 1990s–2010s by Kravitz, Duan, and Vohra, N-of-1 trials enable personalized medicine by determining which treatment works best for that specific individual, avoiding the assumption that population-average effects apply to all patients. They are ideal for chronic conditions with variable outcomes and heterogeneous treatment response. |
| ScholarGate데이터셋 ↗ |
|
|