Порівняння методів

	Дизайн когортного дослідження	Дизайн дослідження «випадок-контроль»	Дизайн поперечного дослідження
Галузь	Клінічні дослідження	Клінічні дослідження	Клінічні дослідження
Родина	Process / pipeline	Process / pipeline	Process / pipeline
Рік появи	1970s-1980s	1950s-1970s	1950s-1970s
Автор методу	Donald Acheson, Olli Miettinen, and others in modern epidemiology	Jerome L. Schlesselman, Brian MacMahon, Thomas Pugh	Epidemiologists in the mid-20th century; formalized by Kelsey, Rothman, and others
Тип	Research Design	Research Design	Research Design
Основоположне джерело	Miettinen, O. S. (1976). Estimability and estimation in case-referent studies. American Journal of Epidemiology, 103(2), 226–235.	Schlesselman, J. J. (1982). Case-Control Studies: Design, Conduct, Analysis. Oxford University Press. ISBN: 978-0195027815	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
Інші назви	prospective study, follow-up study, longitudinal study, cohort study	case-control study, retrospective study, matched case-control, nested case-control	prevalence study, cross-sectional survey, snapshot study, survey design
Пов'язані	2	2	2
Підсумок	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 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.