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طراحی مورد-تقاطع: مطالعه همه‌گیرشناسی خود-همسان‌سازی شده برای مواجهات گذرا×مطالعه مورد-شاهدی×مطالعه کوهورت×مطالعه مورد-شاهدی تودرتو×
حوزهاپیدمیولوژیاپیدمیولوژیاپیدمیولوژیاپیدمیولوژی
خانوادهProcess / pipelineProcess / pipelineProcess / pipelineProcess / pipeline
سال پیدایش19911950s (formal methodology); precursors in the 1920sMid-20th century (formal epidemiological design codified ~1950s)1973–1977
پدیدآورMalcolm MaclureJanet Lane-Claypon (early precursors, 1926); formalized by Brian MacMahon and Jerome Cornfield in the 1950s–1960sDoll & Hill (British Doctors Study, 1951); Snow (cholera, 1854)Nathan Mantel (1973); D. C. Thomas (1977 formalization)
نوعObservational epidemiological study designObservational analytic study designObservational longitudinal study designHybrid observational study design
منبع بنیادینMaclure, M. (1991). The case-crossover design: A method for studying transient effects on the risk of acute events. American Journal of Epidemiology, 133(2), 144–153. DOI ↗Schlesselman, J.J. (1982). Case-Control Studies: Design, Conduct, Analysis. Oxford University Press. ISBN: 978-0195027860Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641Thomas, D. C. (1977). Addendum to: Methods of cohort analysis: Appraisal by application to asbestos mining. Journal of the Royal Statistical Society, Series A, 140(4), 469–491. link ↗
نام‌های دیگرcase-crossover study, CCO design, self-matched case study, within-person crossover case studycase-referent study, case-control design, retrospective case-control, case-control analysislongitudinal study, follow-up study, panel study, incidence studyNCC study, nested CC design, case-control within cohort, density sampling case-control
مرتبط3666
خلاصهThe case-crossover design is an observational epidemiological method that estimates whether a transient exposure triggers an acute event by comparing each case's exposure during a brief hazard window immediately before the event to their own exposure during earlier control periods. Because each person serves as their own control, all stable personal characteristics are automatically adjusted for, making the design especially powerful for studying intermittent exposures and sudden-onset outcomes such as myocardial infarction, stroke, or injury.A case-control study is a retrospective observational design in which individuals who have developed a disease or outcome of interest (cases) are compared with individuals who have not (controls) to determine whether prior exposure to a putative risk factor differs between the two groups. The primary measure of association is the odds ratio, which approximates the relative risk when the outcome is rare. Case-control studies are especially efficient for investigating rare diseases and generating etiological hypotheses.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.A nested case-control study is an efficient observational design embedded within a defined cohort. For each participant who develops the outcome of interest (a case), a small number of matched controls are sampled from those still at risk at the same point in time. This density-sampling strategy yields odds ratios that approximate incidence-rate ratios from the full cohort at a fraction of the data-collection cost — making it the preferred alternative when measuring exposures for all cohort members would be prohibitively expensive or technically demanding.
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ScholarGateمقایسهٔ روش‌ها: Case-crossover design · Case-control study · Cohort Study · Nested case-control. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare