방법 비교

	다변량 코호트 연구	패널 연구
분야	연구설계	연구설계
계열	Process / pipeline	Process / pipeline
기원 연도	1950s–1970s (cohort methods); multivariate extensions prominent from 1970s onward	1970s-1980s (econometric formalization); earlier social survey use from 1940s
창시자	Epidemiology and biostatistics tradition; advanced by Rothman, Breslow, and colleagues	Social science and econometric traditions; systematized by Cheng Hsiao and others from the 1970s-1980s
유형	Observational quantitative research design	Quantitative longitudinal observational design
원전	Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641	Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717
별칭	multivariate cohort study, cohort study with multivariate analysis, multivariable cohort design, multivariate longitudinal cohort	panel study, panel survey, longitudinal panel, repeated-measures panel
관련	5	3
요약	Multivariate cohort research follows a defined group of individuals forward in time, collecting data on multiple exposures, outcomes, and covariates simultaneously. By applying multivariate statistical models — such as Cox regression, mixed-effects models, or structural equation models — researchers can disentangle the independent contributions of several predictors to one or more outcomes while controlling for confounders. The design is widely used in epidemiology, public health, psychology, and social sciences.	Panel research is a quantitative longitudinal design in which the same individuals, organizations, or other units are measured repeatedly across two or more time points. Unlike cross-sectional surveys that capture a single snapshot, a panel tracks change within units, enabling researchers to separate genuine within-unit change from between-unit differences and to model causal dynamics over time.