Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Панельное количественное обсервационное исследование× | Когортное исследование× | |
|---|---|---|
| Область≠ | Дизайн исследования | Эпидемиология |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1960s–1980s (formalized in econometrics); widely adopted in social sciences by 1990s | Mid-20th century (formal epidemiological design codified ~1950s) |
| Автор метода≠ | Established through econometrics literature; foundational contributions by Cheng Hsiao, Zvi Griliches, and Marc Nerlove | Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854) |
| Тип≠ | Quantitative observational longitudinal design | Observational longitudinal study design |
| Основополагающий источник≠ | 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 |
| Другие названия | panel observational study, longitudinal observational panel design, panel survey research, repeated-measures observational design | longitudinal study, follow-up study, panel study, incidence study |
| Связанные≠ | 4 | 6 |
| Сводка≠ | 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. |
| ScholarGateНабор данных ↗ |
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