So sánh phương pháp

	Nghiên cứu định lượng quan sát dựa trên bảng dữ liệu	Nghiên cứu thuần tập
Lĩnh vực	Thiết kế nghiên cứu	Dịch tễ học
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1960s–1980s (formalized in econometrics); widely adopted in social sciences by 1990s	Mid-20th century (formal epidemiological design codified ~1950s)
Người khởi xướng	Established through econometrics literature; foundational contributions by Cheng Hsiao, Zvi Griliches, and Marc Nerlove	Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854)
Loại	Quantitative observational longitudinal design	Observational longitudinal study design
Công trình gốc	Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717	Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641
Tên gọi khác	panel observational study, longitudinal observational panel design, panel survey research, repeated-measures observational design	longitudinal study, follow-up study, panel study, incidence study
Liên quan	4	6
Tóm tắt	Panel-based observational quantitative research follows the same individuals, organizations, or units across two or more time points without experimentally manipulating any condition. By combining the within-unit depth of longitudinal tracking with the numerical precision of quantitative measurement, it enables researchers to study change over time, detect lagged effects, and control for stable unobserved characteristics — all while maintaining the ethical simplicity of pure observation.	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.