Salīdzināt metodes

	Dizains gadījums-krustojums	Gadījuma-kontroles pētījums	Kohortas pētījums
Nozare	Epidemioloģija	Epidemioloģija	Epidemioloģija
Saime	Process / pipeline	Process / pipeline	Process / pipeline
Izcelsmes gads	1991	1950s (formal methodology); precursors in the 1920s	Mid-20th century (formal epidemiological design codified ~1950s)
Autors	Malcolm Maclure	Janet Lane-Claypon (early precursors, 1926); formalized by Brian MacMahon and Jerome Cornfield in the 1950s–1960s	Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854)
Tips	Observational epidemiological study design	Observational analytic study design	Observational longitudinal study design
Pirmavots	Maclure, M. (1991). The case-crossover design: A method for studying transient effects on the risk of acute events. American Journal of Epidemiology, 133(2), 144–153.	Schlesselman, J.J. (1982). Case-Control Studies: Design, Conduct, Analysis. Oxford University Press. ISBN: 978-0195027860	Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641
Citi nosaukumi	case-crossover study, CCO design, self-matched case study, within-person crossover case study	case-referent study, case-control design, retrospective case-control, case-control analysis	longitudinal study, follow-up study, panel study, incidence study
Saistītās	3	6	6
Kopsavilkums	The case-crossover design is an observational epidemiological method that estimates whether a transient exposure triggers an acute event by comparing each case's exposure during a brief hazard window immediately before the event to their own exposure during earlier control periods. Because each person serves as their own control, all stable personal characteristics are automatically adjusted for, making the design especially powerful for studying intermittent exposures and sudden-onset outcomes such as myocardial infarction, stroke, or injury.	A case-control study is a retrospective observational design in which individuals who have developed a disease or outcome of interest (cases) are compared with individuals who have not (controls) to determine whether prior exposure to a putative risk factor differs between the two groups. The primary measure of association is the odds ratio, which approximates the relative risk when the outcome is rare. Case-control studies are especially efficient for investigating rare diseases and generating etiological hypotheses.	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.