Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Серийные случаи× | Поперечное эпидемиологическое исследование× | |
|---|---|---|
| Область | Эпидемиология | Эпидемиология |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | Longstanding; systematized in 20th century clinical research | 1960s (formal codification); widely practiced since mid-20th century |
| Автор метода≠ | Historical clinical practice; formalized in modern evidence-based medicine literature | Classical epidemiology tradition; systematized by Brian MacMahon and Thomas Pugh (1960s) |
| Тип≠ | Observational descriptive study | Observational, descriptive/analytic epidemiological design |
| Основополагающий источник≠ | Case series. Wikipedia. link ↗ | Kelsey, J. L., Whittemore, A. S., Evans, A. S., & Thompson, W. D. (1996). Methods in Observational Epidemiology (2nd ed.). Oxford University Press. ISBN: 978-0195080407 |
| Другие названия | case series report, clinical case series, consecutive case series, patient series | prevalence study, cross-sectional survey, transversal study, cross-sectional design |
| Связанные≠ | 5 | 6 |
| Сводка≠ | A case series is a descriptive observational study that documents the characteristics, clinical course, and outcomes of a group of patients who share a common condition, exposure, or intervention. Unlike case reports, which focus on a single patient, a case series aggregates data across multiple patients (typically three or more) to identify patterns, generate hypotheses, and characterize rare or novel conditions — without a concurrent control group. | A cross-sectional epidemiological study measures the exposure(s) and outcome(s) of interest simultaneously in a defined population at a single point in time (or over a short period). Because there is no follow-up, it is the most efficient observational design for estimating disease prevalence and for generating hypotheses about associations between risk factors and health outcomes. |
| ScholarGateНабор данных ↗ |
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