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| Панелни корелационни изследвания× | Когортно проучване – надлъжен обсервационен дизайн× | |
|---|---|---|
| Област≠ | Дизайн на изследването | Епидемиология |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1970s–1980s (formal panel analysis methods) | Mid-20th century (formal epidemiological design codified ~1950s) |
| Създател≠ | Panel methodology systematized by economists and sociologists, notably Kessler & Greenberg (1981) and Cheng Hsiao (1986) | Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854) |
| Тип≠ | Quantitative observational design | Observational longitudinal study design |
| Основополагащ източник≠ | Kessler, R. C., & Greenberg, D. F. (1981). Linear Panel Analysis: Models of Quantitative Change. Academic Press. ISBN: 9780124053502 | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 |
| Други названия | panel correlational study, longitudinal correlational panel, panel survey research, repeated-measures correlational design | longitudinal study, follow-up study, panel study, incidence study |
| Свързани≠ | 3 | 6 |
| Резюме≠ | Panel-based correlational research follows the same individuals, organizations, or units across multiple time points and quantifies associations among variables within that longitudinal structure. Unlike a one-shot correlational survey, the panel design captures temporal ordering and within-unit change, enabling researchers to test whether earlier values of one variable predict later values of another while statistically controlling for stable individual differences. | 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. |
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