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| 다기관 1상 임상시험× | 용량-반응 분석× | |
|---|---|---|
| 분야 | 역학 | 역학 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1970s–1980s (formalized in FDA Phase I guidance 1977; ICH E6 GCP 1996) | Conceptual roots 16th century; modern epidemiological application mid-20th century |
| 창시자≠ | Established through FDA regulatory guidance and ICH harmonization frameworks | Paracelsus (conceptual foundation); formalized by John Snow and later Bradford Hill |
| 유형≠ | Interventional clinical study design | Quantitative analytical method |
| 원전≠ | International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH). (2016). ICH Harmonised Guideline: Integrated Addendum to ICH E6(R1): Guideline for Good Clinical Practice E6(R2). ICH. link ↗ | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 |
| 별칭 | multisite Phase I trial, multi-institutional Phase I study, Phase I dose-escalation multicenter study, first-in-human multicenter trial | exposure-response analysis, concentration-response modeling, dose-response modeling, DRA |
| 관련≠ | 6 | 4 |
| 요약≠ | A multicenter Phase I clinical trial is the first systematic administration of an investigational agent to humans, conducted simultaneously across two or more clinical sites. Its primary objectives are to characterize the safety and tolerability profile of the intervention, determine the maximum tolerated dose (MTD), and describe pharmacokinetic and pharmacodynamic behavior. Distributing enrollment across sites increases participant accrual speed and enhances the generalizability of early-phase safety data. | Dose-response analysis quantifies the relationship between the magnitude of an exposure (the dose) and the probability or rate of an outcome (the response). It is a core analytical strategy in epidemiology and toxicology, providing evidence that increasing exposure systematically increases — or decreases — the risk of disease. A demonstrated dose-response gradient is one of Bradford Hill's classic criteria supporting causal inference. |
| ScholarGate데이터셋 ↗ |
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