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	Thử nghiệm lâm sàng Giai đoạn III có đối chứng	Nghiên cứu đoàn hệ được ghép cặp
Lĩnh vực	Dịch tễ học	Dịch tễ học
Họ	Process / pipeline	Process / pipeline
Năm ra đời	Mid-20th century (matching in RCTs formalized ~1950s–1970s)	Mid-20th century; propensity-score variant 1983
Người khởi xướng	Fisher, R. A. (matching principles); adapted into confirmatory trial design over mid-20th century	Established practice; propensity-score matching formalized by Rosenbaum & Rubin (1983)
Loại	Controlled confirmatory clinical trial with matching	Observational analytic study design
Công trình gốc	Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641	Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641
Tên gọi khác	matched controlled Phase III trial, Phase III matched-pair trial, matched confirmatory trial, matched late-phase RCT	matched follow-up study, paired cohort study, propensity-matched cohort, matched prospective study
Liên quan	5	5
Tóm tắt	A matched Phase III clinical trial is a confirmatory, late-stage controlled study in which each participant assigned to the experimental treatment is paired with one or more controls who share key prognostic characteristics — such as age, disease stage, or comorbidities — before treatment allocation. By ensuring baseline comparability at the level of matched pairs, the design reduces confounding and improves statistical efficiency in settings where simple randomization alone may produce imbalanced groups or where full randomization is logistically or ethically constrained.	A matched cohort study is an observational design in which each exposed participant is paired with one or more unexposed counterparts who share key characteristics — such as age, sex, or comorbidity status — before both groups are followed forward in time to compare incident outcomes. Matching controls for measured confounders at the design stage, reducing bias that would otherwise require statistical adjustment alone.