Compara mètodes
Revisa els mètodes seleccionats l'un al costat de l'altre; les files que difereixen es ressalten.
| Estudi prospectiu de casos i controls× | Estudi de Cohort Prospectiu× | |
|---|---|---|
| Camp | Epidemiologia | Epidemiologia |
| Família | Process / pipeline | Process / pipeline |
| Any d'origen≠ | 1970s–1990s (formalized alongside nested case-control methods) | 1950s (systematic application); conceptual roots earlier |
| Autor original≠ | Evolved from classical retrospective case-control methodology; prospective embedding attributed to modern epidemiological practice (Rothman, Greenland, and others, late 20th century) | Richard Doll and Austin Bradford Hill (landmark application, 1951-1954); cohort methodology formalised by modern epidemiology textbooks |
| Tipus≠ | Observational analytic study design | Observational longitudinal study design |
| Font seminal | 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 |
| Àlies | prospective case-control design, ambidirectional case-control, bidirectional case-control, nested case-control (prospective variant) | longitudinal cohort study, prospective follow-up study, incidence study, prospective observational cohort |
| Relacionats | 6 | 6 |
| Resum≠ | A prospective case-control study embeds the case-control logic within a defined cohort followed forward in time. Cases are identified as they occur, rather than looked up in records after the fact, and controls are sampled from the same prospectively monitored base population. This forward-looking approach allows collection of exposure data before outcome ascertainment, reducing recall bias — the principal weakness of the classic retrospective case-control design — while retaining the efficiency gains of sampling controls rather than enrolling a full cohort. | A prospective cohort study assembles a group of participants who are free of the outcome of interest at baseline, measures their exposures, and then follows them forward in time to record who develops the outcome. By collecting exposure data before outcomes occur, it establishes a clear temporal sequence that supports causal inference — a major advantage over retrospective designs. It is the cornerstone observational method in epidemiology and clinical research. |
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