Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Эпидемиологическое поперечное исследование с сопоставлением× | Исследование «случай-контроль» с подбором пар× | |
|---|---|---|
| Область | Эпидемиология | Эпидемиология |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | Mid-to-late 20th century (formalized ~1970s–1990s) | 1950s–1970s |
| Автор метода≠ | Developed within the tradition of observational epidemiology; matching principles codified by Greenland, Rothman, and Kelsey in modern epidemiology texts | Brian MacMahon and others; systematised by Schlesselman (1982) |
| Тип≠ | Observational epidemiological study design | Observational analytic 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: 978-0781755474 |
| Другие названия | matched cross-sectional survey, matched prevalence study, matched cross-sectional design, frequency-matched cross-sectional study | matched case-referent study, individually matched case-control, pair-matched case-control, matched case-control design |
| Связанные | 5 | 5 |
| 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 matched case-control study is an observational epidemiological design in which each case (a person with the disease or outcome of interest) is paired with one or more controls (persons without the outcome) who share one or more characteristics — such as age, sex, or clinical setting — to control confounding. Exposure history is then compared between cases and their matched controls to estimate the odds ratio of the exposure-disease association. |
| ScholarGateНабор данных ↗ |
|
|