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Skepticism Calibration Disorder-The New Public Health Crisis.
JAMA Netw Open
September 2024
University of Pennsylvania, Philadelphia.
Development and application of a risk nomogram for the prediction of risk of carbapenem-resistant Acinetobacter baumannii infections in neuro-intensive care unit: a mixed method study.
Antimicrob Resist Infect Control
June 2024
Department of Neurosurgery, Neuro-Intensive Care Unit, Clinical Medical College, Yangzhou, 225001, China.
Objective: This study aimed to develop and apply a nomogram with good accuracy to predict the risk of CRAB infections in neuro-critically ill patients. In addition, the difficulties and expectations of application such a tool in clinical practice was investigated.
Methods: A mixed methods sequential explanatory study design was utilized.
The Challenge of Interdisciplinarity at the Intersection of Groundwater Management and Visualization Research.
IEEE Comput Graph Appl
November 2023
This design study presents an analysis and abstraction of temporal and spatial data, and workflows in the domain of hydrogeology and the design and development of an interactive visualization prototype. Developed in close collaboration with a group of hydrogeological researchers, the interface supports them in data exploration, selection of data for their numerical model calibration, and communication of findings to their industry partners. We highlight both pitfalls and learnings of the iterative design and validation process and explore the role of rapid prototyping.
View Article and Find Full Text PDFComparing Message Appeals Employed in Efforts to Prevent E-cigarette Use Among Students in a US University.
J Community Health
June 2023
The University of Toledo, 2801 West Bancroft Street, Mail Stop 119, Toledo, OH, 43606, USA.
College students tend to underestimate the risk associated with e-cigarette use while overestimating the prevalence of this behavior. The purpose of this study was to compare the perceived effectiveness of social norms messages to other theoretical appeals regarding the prevention of e-cigarette use. Researchers surveyed 586 college students who assessed five messages.
View Article and Find Full Text PDFBayesian adaptive design for pediatric clinical trials incorporating a community of prior beliefs.
BMC Med Res Methodol
April 2022
Department of Biostatistics & Data Science, University of Kansas Medical Center, Robinson 5028, 3901 Rainbow Blvd., Kansas City, KS, 66160, USA.
Background: Pediatric population presents several barriers for clinical trial design and analysis, including ethical constraints on the sample size and slow accrual rate. Bayesian adaptive design methods could be considered to address these challenges in pediatric clinical trials.
Methods: We developed an innovative Bayesian adaptive design method and demonstrated the approach as a re-design of a published phase III pediatric trial.
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