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| Bayesijansko ispitivanje faze II× | Analiza doza-odgovor× | |
|---|---|---|
| Područje | Epidemiologija | Epidemiologija |
| Obitelj | Process / pipeline | Process / pipeline |
| Godina nastanka≠ | 1990s (Thall & Simon 1994; Berry 1985–2006) | Conceptual roots 16th century; modern epidemiological application mid-20th century |
| Tvorac≠ | Peter Thall, Richard Simon, Donald Berry (key contributors) | Paracelsus (conceptual foundation); formalized by John Snow and later Bradford Hill |
| Vrsta≠ | Interventional clinical trial design | Quantitative analytical method |
| Temeljni izvor≠ | Thall, P. F., & Simon, R. (1994). Practical Bayesian guidelines for phase IIB clinical trials. Biometrics, 50(2), 337–349. DOI ↗ | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 |
| Drugi nazivi | Bayesian phase 2 trial, Bayesian single-arm phase II study, Bayesian early-phase efficacy trial, Bayes phase II | exposure-response analysis, concentration-response modeling, dose-response modeling, DRA |
| Srodne≠ | 6 | 4 |
| Sažetak≠ | A Bayesian Phase II clinical trial applies Bayesian statistical inference to the standard Phase II objective of evaluating whether an experimental treatment shows sufficient early-phase efficacy to justify progression to a Phase III trial. By combining prior information with accumulating trial data, it enables principled interim monitoring, flexible stopping rules, and updated probability statements about treatment effect — all without the multiple-testing penalties that burden frequentist sequential designs. | 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. |
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