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| Nghiên cứu bệnh-chứng bắt cặp× | Ghép cặp điểm xu hướng× | |
|---|---|---|
| Lĩnh vực≠ | Dịch tễ học | Thống kê nghiên cứu |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | 1950s–1970s | 1983 |
| Người khởi xướng≠ | Brian MacMahon and others; systematised by Schlesselman (1982) | Paul Rosenbaum and Donald Rubin |
| Loại≠ | Observational analytic design | Method |
| Công trình gốc≠ | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755474 | Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41–55. DOI ↗ |
| Tên gọi khác≠ | matched case-referent study, individually matched case-control, pair-matched case-control, matched case-control design | PSM, propensity score weighting, covariate balance |
| Liên quan≠ | 5 | 3 |
| Tóm tắt≠ | A matched case-control study is an observational epidemiological design in which each case (a person with the disease or outcome of interest) is paired with one or more controls (persons without the outcome) who share one or more characteristics — such as age, sex, or clinical setting — to control confounding. Exposure history is then compared between cases and their matched controls to estimate the odds ratio of the exposure-disease association. | Propensity score matching (PSM) is a method for reducing confounding bias in observational studies by balancing baseline characteristics between treatment groups, simulating randomization. Developed by Rosenbaum and Rubin (1983), it estimates the probability of receiving treatment given observed covariates, then matches or weights treated and control individuals with similar treatment probabilities. Widely used in medicine, epidemiology, and policy evaluation when randomized trials are infeasible or unethical, enabling estimation of treatment effects while controlling for selection bias. |
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