方法对比
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| 前瞻性生存分析× | 随机对照试验 (RCT)× | |
|---|---|---|
| 领域 | 流行病学 | 流行病学 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1958–1972 (foundational methods); prospective design emphasis formalized by 1980s | 1948 (first rigorously conducted RCT — MRC streptomycin trial) |
| 提出者≠ | Kaplan & Meier (estimator, 1958); Cox (proportional hazards model, 1972); prospective design formalised in modern clinical epidemiology | Austin Bradford Hill; MRC Streptomycin Trial team |
| 类型≠ | Longitudinal observational or experimental study design with time-to-event analysis | Interventional experimental study |
| 开创性文献≠ | Kleinbaum, D. G., & Klein, M. (2012). Survival Analysis: A Self-Learning Text (3rd ed.). Springer. ISBN: 978-1441966452 | Friedman, L. M., Furberg, C. D., DeMets, D. L., Reboussin, D. M., & Granger, C. B. (2015). Fundamentals of Clinical Trials (5th ed.). Springer. ISBN: 978-3319185385 |
| 别名 | prospective time-to-event analysis, prospective failure-time analysis, forward-looking survival study, prospective event-time study | RCT, randomized controlled trial, randomised controlled trial, clinical randomized trial |
| 相关≠ | 5 | 6 |
| 摘要≠ | Prospective survival analysis is a longitudinal study design in which participants are enrolled before the event of interest occurs, followed forward in time under standardised conditions, and analysed using survival-analytic methods to estimate the time until a defined clinical endpoint — such as death, disease recurrence, or treatment failure. Because data are collected prospectively, exposure and covariate information are recorded before outcomes are known, substantially reducing recall and selection bias relative to retrospective approaches. | A randomized clinical trial (RCT) is an experimental study design in which participants are randomly assigned to an intervention group or a control group, then followed prospectively to compare outcomes. Random allocation is the defining feature: it distributes known and unknown confounders across groups by chance, making the RCT the strongest individual study design for establishing causal efficacy of a treatment or intervention under controlled conditions. |
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