So sánh phương pháp

	Nghiên cứu dịch tễ học cắt ngang được ghép cặp	Nghiên cứu thuần tập
Lĩnh vực	Dịch tễ học	Dịch tễ học
Họ	Process / pipeline	Process / pipeline
Năm ra đời	Mid-to-late 20th century (formalized ~1970s–1990s)	Mid-20th century (formal epidemiological design codified ~1950s)
Người khởi xướng	Developed within the tradition of observational epidemiology; matching principles codified by Greenland, Rothman, and Kelsey in modern epidemiology texts	Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854)
Loại	Observational epidemiological study design	Observational longitudinal 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 cross-sectional survey, matched prevalence study, matched cross-sectional design, frequency-matched cross-sectional study	longitudinal study, follow-up study, panel study, incidence study
Liên quan	5	6
Tóm tắt	A matched cross-sectional epidemiological study is an observational design that measures exposure and outcome simultaneously in a population sample while applying matching to control for one or more confounding variables. By pairing or grouping participants on key characteristics such as age, sex, or socioeconomic status before or during analysis, the design reduces confounding bias without requiring longitudinal follow-up, making it efficient for estimating prevalence and cross-sectional associations.	A cohort study assembles a group of individuals who share a common starting point — typically freedom from the outcome of interest — and follows them over time to observe who develops the outcome. By comparing incidence rates between exposed and unexposed subgroups, researchers can estimate relative risk and absolute risk differences. Cohort studies are the gold-standard observational design for measuring disease incidence and establishing temporal relationships between exposure and outcome.