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طراحی مطالعه مورد-شاهدی×طراحی مطالعه مقطعی×
حوزهپژوهش بالینیپژوهش بالینی
خانوادهProcess / pipelineProcess / pipeline
سال پیدایش1950s-1970s1950s-1970s
پدیدآورJerome L. Schlesselman, Brian MacMahon, Thomas PughEpidemiologists in the mid-20th century; formalized by Kelsey, Rothman, and others
نوعResearch DesignResearch Design
منبع بنیادینSchlesselman, J. J. (1982). Case-Control Studies: Design, Conduct, Analysis. Oxford University Press. ISBN: 978-0195027815Kelsey, J. L., Whittemore, A. S., Evans, A. S., & Thompson, W. D. (1996). Methods in Observational Epidemiology (2nd ed.). Oxford University Press. ISBN: 978-0195083299
نام‌های دیگرcase-control study, retrospective study, matched case-control, nested case-controlprevalence study, cross-sectional survey, snapshot study, survey design
مرتبط22
خلاصهA 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 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.
ScholarGateمجموعه‌داده
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  2. 3 منابع
  3. PUBLISHED
  1. v1
  2. 3 منابع
  3. PUBLISHED

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ScholarGateمقایسهٔ روش‌ها: Case-Control Study Design · Cross-Sectional Study Design. بازیابی‌شده در 2026-06-17 از https://scholargate.app/fa/compare