Salīdzināt metodes

	Saskaņotais ekoloģiskais pētījums	Epidemioloģisks šķērsgriezuma pētījums
Nozare	Epidemioloģija	Epidemioloģija
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	1970s–1990s (methodological consolidation)	1960s (formal codification); widely practiced since mid-20th century
Autors	Extension of classical ecological study design; matching principles formalized in 20th-century epidemiology	Classical epidemiology tradition; systematized by Brian MacMahon and Thomas Pugh (1960s)
Tips	Observational study design	Observational, descriptive/analytic epidemiological design
Pirmavots	Morgenstern, H. (1998). Ecologic studies in epidemiology: Concepts, principles, and methods. Annual Review of Public Health, 16, 61–81.	Kelsey, J. L., Whittemore, A. S., Evans, A. S., & Thompson, W. D. (1996). Methods in Observational Epidemiology (2nd ed.). Oxford University Press. ISBN: 978-0195080407
Citi nosaukumi	matched ecologic study, geographically matched ecological study, area-matched ecological design, matched aggregate study	prevalence study, cross-sectional survey, transversal study, cross-sectional design
Saistītās	6	6
Kopsavilkums	A matched ecological study is an observational epidemiological design in which aggregate units — such as geographic areas, communities, or time periods — are systematically paired or matched on key characteristics before comparing exposure and outcome rates. Matching at the group level controls for area-level confounders and improves comparability between exposed and unexposed units, producing more credible estimates of ecological associations than an unmatched counterpart.	A cross-sectional epidemiological study measures the exposure(s) and outcome(s) of interest simultaneously in a defined population at a single point in time (or over a short period). Because there is no follow-up, it is the most efficient observational design for estimating disease prevalence and for generating hypotheses about associations between risk factors and health outcomes.