Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Эпидемиологическое поперечное исследование с сопоставлением× | Когортное исследование× | |
|---|---|---|
| Область | Эпидемиология | Эпидемиология |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | Mid-to-late 20th century (formalized ~1970s–1990s) | Mid-20th century (formal epidemiological design codified ~1950s) |
| Автор метода≠ | 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) |
| Тип≠ | Observational epidemiological study design | Observational longitudinal study design |
| Основополагающий источник | 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 |
| Другие названия | 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 |
| Связанные≠ | 5 | 6 |
| Сводка≠ | 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. |
| ScholarGateНабор данных ↗ |
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