It is shown how hierarchical biomedical data, such as coming from longitudinal clinical trials, meta-analyses, or a combination of both, can be used to provide evidence for quantitative strength of reliability, agreement, generalizability, and related measures that derive from association concepts. When responses are of a continuous, Gaussian type, the linear mixed model is shown to be a versatile framework. At the same time, the framework is embedded in the generalized linear mixed models, such that non-Gaussian, e.g., binary, outcomes can be studied as well. Similarities and, above all, important differences are studied. All developments are exemplified using clinical studies in schizophrenia, with focus on the endpoints Clinician's Global Impression (CGI) or Positive and Negative Syndrome Scale (PANSS).
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http://dx.doi.org/10.1080/10543400701329448 | DOI Listing |
Stat Med
February 2025
School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
In biomedical studies, gene-environment (G-E) interactions have been demonstrated to have important implications for analyzing disease outcomes beyond the main G and main E effects. Many approaches have been developed for G-E interaction analysis, yielding important findings. However, hierarchical multi-label classification, which provides insightful information on disease outcomes, remains unexplored in G-E analysis literature.
View Article and Find Full Text PDFAppl Nurs Res
February 2025
School of Health and Biomedical Sciences, Royal Melbourne Institute of Technology (RMIT), Bundoora West Campus, PO Box 71, Bundoora, VIC 3083, Australia. Electronic address:
Background: Registered nurses are ethically and professionally obligated to foster sustainable and respectful workplaces. However, when transitioning to academia, many nurses encounter unexpected challenges, including hierarchical and individualistic environments that contrast with the collaborative ethos of clinical practice.
Method: This qualitative study explored the experiences of 11 registered nurses from six Australian universities as they transitioned into academic roles.
BMC Health Serv Res
January 2025
School of Humanities and Social Sciences, Beihang University, No. 37 Xueyuan Road, Beijing, 100191, China.
Background: To address the health inequity caused by decentralized management, China has introduced a provincial pooling system for urban employees' basic medical insurance. This paper proposes a research framework to evaluate similar policies in different contexts. This paper adopts a mixed-methods approach to more comprehensively and precisely capture the causal effects of the policy.
View Article and Find Full Text PDFBMJ Open
January 2025
Centre for Cancer Screening, Prevention and Early Diagnosis, Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Background: Worldwide, lung cancer (LC) is the second most frequent cancer and the leading cause of cancer related mortality. Low-dose CT (LDCT) screening reduced LC mortality by 20-24% in randomised trials of high-risk populations. A significant proportion of those screened have nodules detected that are found to be benign.
View Article and Find Full Text PDFMicromachines (Basel)
January 2025
Centre for Precision Manufacturing, DMEM, University of Strathclyde, Glasgow G1 1XJ, UK.
Silk fibroin, known for its biocompatibility and biodegradability, holds significant promise for biomedical applications, particularly in drug delivery systems. The precise fabrication of silk fibroin particles, specifically those ranging from tens of nanometres to hundreds of microns, is critical for these uses. This study introduces elliptical vibration micro-turning as a method for producing silk fibroin particles in the form of cutting chips to serve as carriers for drug delivery systems.
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