Comparer des méthodes

	Échantillonnage adaptatif par grappes	Étude écologique
Domaine	Méthodologie d'enquête	Épidémiologie
Famille	Process / pipeline	Process / pipeline
Année d'origine	1990	19th century (Snow 1854); formalised mid-20th century
Auteur d'origine	Steven Thompson	Various; foundational work by John Snow (1854) and systematised in modern form by Brian MacMahon and colleagues
Type	Probability-based adaptive design	Observational epidemiological study
Source fondatrice	Thompson, S. K. (1990). Adaptive cluster sampling. Journal of the American Statistical Association, 85(412), 1050–1059.	Morgenstern, H. (1995). Ecologic studies in epidemiology: concepts, principles, and methods. Annual Review of Public Health, 16(1), 61–81.
Alias	Adaptive Cluster Sampling, Sequential Adaptive Sampling, Network Sampling, Adaptif Küme Örneklemesi	aggregate study, correlational study, ecological correlation study, population-level study
Apparentées	3	5
Résumé	Adaptive Cluster Sampling (ACS) is a probability-based survey design introduced by Steven K. Thompson in 1990 for estimating the abundance or total of rare, clustered populations. Starting from an initial random sample, the design adaptively adds neighboring units whenever a sampled unit satisfies a predefined condition—such as exceeding a count threshold—thereby concentrating sampling effort exactly where the population of interest occurs. It is most appropriate for ecologists, epidemiologists, and social scientists studying geographically or socially clustered rare phenomena.	An ecological study is an observational epidemiological design in which the unit of analysis is a group or population — a country, region, city, or time period — rather than an individual. Exposures and outcomes are measured as aggregates (rates, proportions, or means) and then correlated across groups to generate or evaluate hypotheses about population-level associations between risk factors and disease.