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Дизайн поперечного исследования×Дизайн когортного исследования×
ОбластьКлинические исследованияКлинические исследования
СемействоProcess / pipelineProcess / pipeline
Год появления1950s-1970s1970s-1980s
Автор методаEpidemiologists in the mid-20th century; formalized by Kelsey, Rothman, and othersDonald Acheson, Olli Miettinen, and others in modern epidemiology
ТипResearch DesignResearch Design
Основополагающий источникKelsey, J. L., Whittemore, A. S., Evans, A. S., & Thompson, W. D. (1996). Methods in Observational Epidemiology (2nd ed.). Oxford University Press. ISBN: 978-0195083299Miettinen, O. S. (1976). Estimability and estimation in case-referent studies. American Journal of Epidemiology, 103(2), 226–235. DOI ↗
Другие названияprevalence study, cross-sectional survey, snapshot study, survey designprospective study, follow-up study, longitudinal study, cohort study
Связанные22
СводкаA 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.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.
ScholarGateНабор данных
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  2. 3 Источники
  3. PUBLISHED
  1. v1
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  3. PUBLISHED

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ScholarGateСравнение методов: Cross-Sectional Study Design · Cohort Study Design. Получено 2026-06-18 из https://scholargate.app/ru/compare