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Dizajn studije slučaja i kontrole×Koncept dizajna kohortne studije×Dizajn presječnog istraživanja×
PodručjeKlinička istraživanjaKlinička istraživanjaKlinička istraživanja
ObiteljProcess / pipelineProcess / pipelineProcess / pipeline
Godina nastanka1950s-1970s1970s-1980s1950s-1970s
TvoracJerome L. Schlesselman, Brian MacMahon, Thomas PughDonald Acheson, Olli Miettinen, and others in modern epidemiologyEpidemiologists in the mid-20th century; formalized by Kelsey, Rothman, and others
VrstaResearch DesignResearch DesignResearch Design
Temeljni izvorSchlesselman, J. J. (1982). Case-Control Studies: Design, Conduct, Analysis. Oxford University Press. ISBN: 978-0195027815Miettinen, O. S. (1976). Estimability and estimation in case-referent studies. American Journal of Epidemiology, 103(2), 226–235. DOI ↗Kelsey, J. L., Whittemore, A. S., Evans, A. S., & Thompson, W. D. (1996). Methods in Observational Epidemiology (2nd ed.). Oxford University Press. ISBN: 978-0195083299
Drugi nazivicase-control study, retrospective study, matched case-control, nested case-controlprospective study, follow-up study, longitudinal study, cohort studyprevalence study, cross-sectional survey, snapshot study, survey design
Srodne222
SažetakA case-control study identifies individuals with a disease or outcome (cases) and a comparison group without the outcome (controls), then measures prior exposure retrospectively. Developed in the 1950s–1970s by epidemiologists like Schlesselman and MacMahon, case-control studies are especially efficient for rare diseases, as they sample cases enriched for the outcome, avoiding the need for enormous cohorts. They are a mainstay of clinical epidemiology, observational research, and outbreak investigations.A cohort study follows a group of individuals forward in time from exposure to outcome. Exposed and unexposed participants (or participants with differing exposure levels) are enrolled at baseline, characterized, and observed prospectively until the outcome occurs or the study ends. Cohort studies are fundamental to epidemiology and are the design of choice for establishing causal associations when randomized trials are infeasible or unethical.A cross-sectional study (or prevalence study) measures exposure and outcome simultaneously at a single point in time, producing a 'snapshot' of a population. Respondents are recruited and surveyed (or examined) on the same occasion, capturing current prevalence of both exposure and disease. Cross-sectional studies are simple, quick, and inexpensive, making them popular for needs assessments, surveillance, and generating hypotheses—though they cannot establish causality due to lack of temporal sequence.
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ScholarGateUsporedite metode: Case-Control Study Design · Cohort Study Design · Cross-Sectional Study Design. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare