Introduction: Variable selection is a common technique to identify the most predictive variables from a pool of candidate predictors. Low prevalence predictors (LPPs) are frequently found in clinical data, yet few studies have explored their impact on model performance during variable selection. This study compared the Random Forest (RF) algorithm and stepwise regression (SWR) for variable selection using data from a paediatric sepsis screening tool, where 18 out of 32 predictors had a prevalence < 10%.
View Article and Find Full Text PDFBackground: This study investigates the impact of workplace and client incivility on veterinary staff wellbeing and job satisfaction, examining both individual responses and organisational support mechanisms to identify best practices for managing incivility.
Method: A mixed-methods approach was employed, involving a survey of 192 veterinary professionals from various roles and practice types. The survey measured experiences of incivility, individual factors (anxiety, stress, burnout, job satisfaction and turnover intention) and organisational factors (perceived organisational support, social support and civility climate).
Scientists from diverse backgrounds are underrepresented (UR) in academia. This lack of diversity impedes scientific discovery and innovation. UR scientists tend to conduct research on issues relevant to UR populations, including chronic disease prevention and management, and health disparities.
View Article and Find Full Text PDFEyes within the marine gastropod superfamily Stromboidea range widely in size, from 0.2 to 2.3 mm - the largest eyes known in any gastropod.
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