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Thiết kế Trường hợp-Chéo Bayes (Bayesian Case-Crossover Design)×Thiết kế Case-Crossover×
Lĩnh vựcDịch tễ họcDịch tễ học
HọProcess / pipelineProcess / pipeline
Năm ra đời1991 (case-crossover); Bayesian extension ~2000s1991
Người khởi xướngMalcolm Maclure (case-crossover); Bayesian extension developed by Lumley, Sheppard, and colleaguesMalcolm Maclure
LoạiSelf-matched observational study design with Bayesian inferenceObservational epidemiological study design
Công trình gốcMaclure, 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 ↗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. DOI ↗
Tên gọi khácBayesian case-crossover, BCCO, Bayesian self-matched design, Bayesian within-person crossovercase-crossover study, CCO design, self-matched case study, within-person crossover case study
Liên quan23
Tóm tắtThe Bayesian case-crossover design is a self-matched epidemiological method that estimates the transient effect of a time-varying exposure on the risk of an acute event. Each case serves as their own control, eliminating confounding by time-stable individual characteristics. Bayesian inference replaces or supplements the classical conditional logistic regression, enabling the incorporation of prior knowledge, more stable estimation in sparse data, and full uncertainty quantification via posterior distributions.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.
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ScholarGateSo sánh phương pháp: Bayesian Case-Crossover Design · Case-crossover design. Truy cập ngày 2026-06-17 từ https://scholargate.app/vi/compare