ScholarGate
دستیار

مقایسهٔ روش‌ها

روش‌های انتخابی خود را کنار هم مرور کنید؛ ردیف‌های متفاوت برجسته شده‌اند.

طراحی مورد-تقاطع بیزی×طراحی مورد-تقاطع: مطالعه همه‌گیرشناسی خود-همسان‌سازی شده برای مواجهات گذرا×
حوزهاپیدمیولوژیاپیدمیولوژی
خانوادهProcess / pipelineProcess / pipeline
سال پیدایش1991 (case-crossover); Bayesian extension ~2000s1991
پدیدآورMalcolm Maclure (case-crossover); Bayesian extension developed by Lumley, Sheppard, and colleaguesMalcolm Maclure
نوعSelf-matched observational study design with Bayesian inferenceObservational epidemiological study design
منبع بنیادینMaclure, 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 ↗
نام‌های دیگرBayesian case-crossover, BCCO, Bayesian self-matched design, Bayesian within-person crossovercase-crossover study, CCO design, self-matched case study, within-person crossover case study
مرتبط23
خلاصهThe 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.
ScholarGateمجموعه‌داده
  1. v1
  2. 2 منابع
  3. PUBLISHED
  1. v1
  2. 2 منابع
  3. PUBLISHED

رفتن به جست‌وجو دریافت اسلایدها

ScholarGateمقایسهٔ روش‌ها: Bayesian Case-Crossover Design · Case-crossover design. بازیابی‌شده در 2026-06-17 از https://scholargate.app/fa/compare