A Bayesian approach for generalized linear models with explanatory biomarker measurement variables subject to detection limit: an application to acute lung injury

• Published in: Journal of applied statistics Vol. 39; no. 8; pp. 1733 - 1747
• Main Authors: Wu, Huiyun, Chen, Qingxia, Ware, Lorraine B., Koyama, Tatsuki
• Format: Journal Article
• Language: English
• Published: England Taylor & Francis 01.08.2012; Taylor & Francis Ltd
• Subjects: Applied statistics; Bayesian; Bayesian analysis; biomarker; Biomarkers; detection limit; generalized linear model; Generalized linear models; Injuries; Injury prevention; Lung diseases; lung injury; Lungs; Mathematical models; Medical diagnosis; Panels; Studies; Variables

Biomarkers have the potential to improve our understanding of disease diagnosis and prognosis. Biomarker levels that fall below the assay detection limits (DLs), however, compromise the application of biomarkers in research and practice. Most existing methods to handle non-detects focus on a scenari...