방법 비교

	패널 기반 코호트 연구	코호트 연구	조사 연구
분야	연구설계	역학	연구설계
계열	Process / pipeline	Process / pipeline	Process / pipeline
기원 연도	Mid-20th century (formalized ~1950s–1970s)	Mid-20th century (formal epidemiological design codified ~1950s)	Late 19th century; methodologically systematised 1940s–1960s
창시자	Developed through convergence of epidemiological cohort methodology and social science panel survey traditions	Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854)	Francis Galton, Charles Booth, and early social statisticians; systematised by Paul Lazarsfeld and colleagues at Columbia in the 1940s
유형	Quantitative longitudinal observational design	Observational longitudinal study design	Quantitative (and mixed) non-experimental design
원전	Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. ISBN: 978-1107038691	Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641	Fowler, F. J. (2014). Survey Research Methods (5th ed.). Sage Publications. ISBN: 978-1452259000
별칭	panel cohort study, longitudinal panel cohort, cohort panel design, panel longitudinal study	longitudinal study, follow-up study, panel study, incidence study	survey methodology, questionnaire research, survey design, survey study
관련	3	6	4
요약	Panel-based cohort research is a longitudinal observational design that follows a defined group of individuals — the cohort — across multiple repeated measurement waves, collecting structured quantitative data at each wave. It merges the epidemiological strength of cohort tracking (a group sharing a common characteristic or entry point) with the panel study convention of standardized, repeated-contact data collection. The design enables analysis of change over time within individuals while supporting causal inference about exposure-outcome relationships.	A cohort study assembles a group of individuals who share a common starting point — typically freedom from the outcome of interest — and follows them over time to observe who develops the outcome. By comparing incidence rates between exposed and unexposed subgroups, researchers can estimate relative risk and absolute risk differences. Cohort studies are the gold-standard observational design for measuring disease incidence and establishing temporal relationships between exposure and outcome.	Survey research is a quantitative (and sometimes mixed-methods) design in which a researcher collects standardised self-report data from a sample drawn from a defined population, using a questionnaire or structured interview. It is the dominant non-experimental strategy for describing population characteristics, estimating prevalence, mapping attitude distributions, and testing bivariate or multivariate associations across social, behavioural, and health sciences.