{"id":"168eb3671d08","type":"article","url":"https://hartvaat.nl/2025/09/16/causale-inferentie-via-regressiediscontinuiteit-lessen-uit-de-gordelroosvaccinat/","title":"Causale inferentie via regressiediscontinuïteit: lessen uit de gordelroosvaccinatie","title_en":"Causal inference using regression discontinuity analysis: what can the nephrologist learn from herpes zoster vaccination?","category":"chronische nierziekte","category_label":"Nierziekte","professions":["internist"],"tags":[],"journal":"Kidney International","doi":"https://www.kidney-international.org/article/S0085-2538(25)00692-1/fulltext","source_url":"https://doi.org/https://www.kidney-international.org/article/S0085-2538(25)00692-1/fulltext","authors":["Craig Peter Coorey","Lin Zhu","Germaine Wong"],"significance":4,"published":"2025-09-16","source_date":"2025-09-16","image":"","kennis":[],"congress":"","summary_en":"This article explains how regression discontinuity analysis provides a quasi-experimental alternative to randomised trials for establishing causal relationships, using herpes zoster vaccination studies as an illustrative example for nephrologists.","created":"2026-07-03T10:25:43Z","updated":"2026-07-03T13:25:06Z","licence":"Citeer vrij, met bronvermelding en een link naar hartvaat.nl (de url van het record). Samenvattingen zijn redactioneel werk van HartVaat; de oorspronkelijke publicaties blijven van hun uitgevers (doi). Geen medisch advies.","body_markdown":"Een gerandomiseerde trial is de gouden standaard voor causale relaties. Regressiediscontinuïteitsanalyse biedt een alternatief wanneer randomisatie niet mogelijk is. Dit artikel legt uit wat de nefroloog kan leren van de gordelroosvaccinatiestudies.","abstract_original":"A randomized controlled trial (RCT) remains the gold standard for establishing causal relationships in clinical medicine and health policy. As an experimental design, an RCT eliminates both measured and unmeasured confounding, allowing the observed differences in outcomes to be attributed to the intervention itself, rather than to other factors. However, an RCT is not always feasible, because of ethical, logistical, and financial constraints. In such cases, causal inference methods applied to observational data provide valuable alternatives for assessing causality, while also improving external validity by reflecting real-world clinical practice."}