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Evaluating the real-world vaccine effectiveness using a regression discontinuity design / 中华流行病学杂志
Chinese Journal of Epidemiology ; (12): 292-296, 2022.
Article en Zh | WPRIM | ID: wpr-935385
Biblioteca responsable: WPRO
ABSTRACT
Estimating the actual real-world effectiveness of the vaccine is an essential part of the post-marketing evaluation. This regression discontinuity design (RDD) using observational data is designed to quantify the effect of an intervention when eligibility for the intervention is based on a defined cutoff as age, making it suited to estimate vaccine effects. This approach can avoid the high cost and ethical issues; overcome difficulties in the organization and practice process in randomized controlled trials, which leads to a higher level of causal inference evidence and more realistic results. Here, we describe key features of RDD in general, and then specific scenarios, with examples, to illustrate that RDD are an essential tool for advancing our understanding of vaccine effects.
Asunto(s)
Texto completo: 1 Índice: WPRIM Asunto principal: Vacunas / Causalidad / Eficacia de las Vacunas Tipo de estudio: Clinical_trials Límite: Humans Idioma: Zh Revista: Chinese Journal of Epidemiology Año: 2022 Tipo del documento: Article
Texto completo: 1 Índice: WPRIM Asunto principal: Vacunas / Causalidad / Eficacia de las Vacunas Tipo de estudio: Clinical_trials Límite: Humans Idioma: Zh Revista: Chinese Journal of Epidemiology Año: 2022 Tipo del documento: Article