ArticleStatistical methods in medical research2022
Modeling the patient mix for risk-adjusted CUSUM charts.
Article in Statistical methods in medical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Learning curve analysis across three surgical eras in Ivor Lewis esophagectomy.Journal of robotic surgery · 2026Article
- Feasibility and learning curve of a standardized laparoscopic cholecystectomy technique using a reusable bipolar device: a risk-adjusted CUSUM analysis of 780 cases operated by surgical trainees.Surgical endoscopy · 2025Article
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1 author.
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Abstract
The improvement of surgical quality and the corresponding early detection of its changes is of increasing importance. To this end, sequential monitoring procedures such as the risk-adjusted CUmulative SUM chart are frequently applied. The patient risk score population (patient mix), which considers the patients' perioperative risk, is a core component for this type of quality control chart. Consequently, it is important to be able to adapt different shapes of patient mixes and determine their impact on the monitoring scheme. This article proposes a framework for modeling the patient mix by a discrete beta-binomial and a continuous beta distribution for risk-adjusted CUSUM charts. Since the model-based approach is not limited by data availability,
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