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Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.

Riska koriģēts gadījuma-krustojuma dizains×Risku koriģēts kohortas pētījums×
NozareEpidemioloģijaEpidemioloģija
SaimeProcess / pipelineProcess / pipeline
Izcelsmes gads1991 (base design); risk-adjustment extensions from mid-1990s onwardMid–late 20th century (risk-adjusted cohort designs systematized by 1970s–1990s)
AutorsMalcolm Maclure (case-crossover base); extensions incorporating covariate risk adjustment developed in subsequent pharmacoepidemiology literatureEvolution of cohort study methodology; risk adjustment formalized through work of Rothman, Greenland, and others in epidemiology, 20th century
TipsObservational analytic epidemiological designObservational epidemiological study design with statistical confounding control
PirmavotsMaclure, 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. DOI ↗Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641
Citi nosaukumiadjusted case-crossover study, covariate-adjusted case-crossover, risk-controlled case-crossover, case-crossover with risk adjustmentadjusted cohort study, covariate-adjusted cohort, risk-controlled prospective study, propensity-adjusted cohort
Saistītās44
KopsavilkumsThe risk-adjusted case-crossover design is a self-matched epidemiological method that compares a person's exposure during a brief hazard window immediately preceding an acute event to their exposure during one or more control windows from the same individual, while formally accounting for time-varying or time-fixed covariates that could confound the exposure-event relationship. By using each case as their own control, stable individual-level confounders are automatically cancelled, while covariate adjustment handles residual time-varying risks.A risk-adjusted cohort study is an observational epidemiological design in which a defined group of individuals is followed over time to compare outcomes between exposed and unexposed subgroups, with statistical methods applied to control for measured confounders. Adjustment strategies — including multivariable regression, propensity score matching, inverse probability weighting, or standardization — are used to reduce bias and produce effect estimates that more closely approximate what would be observed in a randomized trial.
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ScholarGateSalīdzināt metodes: Risk-adjusted case-crossover design · Risk-adjusted cohort study. Izgūts 2026-06-19 no https://scholargate.app/lv/compare