Biostatisticians with advanced degrees are highly sought after. Employment opportunities in the fields of mathematics and statistics are expected to increase dramatically by 2028. Underrepresentation of minorities in biostatistics has been a persistent problem, yielding a demographic landscape that differs substantially from the general US population. In some instances, students may have the appropriate quantitative skills, but are unaware of biostatistics and in other instances, students may not yet have the appropriate quantitative background, but are intellectually capable and willing to shore up those skills once they learn about biostatistics as a viable, exciting career option. Therefore, in order to ensure robust scientific advancement, there must be a concerted effort to increase the pipeline of intellectually talented persons available with exposure to the appropriate quantitative skills who are interested in careers in biostatistics. The overarching goal of this paper is to discuss the development, implementation, and impact of a federally funded pipeline initiative aimed at increasing the number of underrepresented minorities successful in graduate training and professional careers in biostatistics as well as establishing effective mentoring and networking relationships. Our findings provide a roadmap for the development of sustainable initiatives to promote diversity in biostatistics and STEM fields more broadly.
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http://dx.doi.org/10.1080/10691898.2020.1820409 | DOI Listing |
NAR Genom Bioinform
March 2025
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
Evaluating the accuracy of protein-coding sequences in genome annotations is a challenging problem for which there is no broadly applicable solution. In this manuscript, we introduce PSAURON (Protein Sequence Assessment Using a Reference ORF Network), a novel software tool developed to help assess the quality of protein-coding gene annotations. Utilizing a machine learning model trained on a diverse dataset from over 1000 plant and animal genomes, PSAURON assigns a score to coding DNA or protein sequence that reflects the likelihood that the sequence is a genuine protein-coding region.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Department of Health and Human Physiology, University of Iowa, Iowa City, IA, United States.
Background: Cardiovascular disease (CVD) is the leading cause of death among women in America. Hypertensive disorders of pregnancy (HDP) negatively impact acute and long-term cardiovascular health, with approximately 16% of all pregnancies affected. With CVD 2-4 times more likely after HDP compared to normotensive pregnancies, effective interventions to promote cardiovascular health are imperative.
View Article and Find Full Text PDFGeriatr Nurs
January 2025
Department of Biobehavioral Health and Nursing Science, College of Nursing and the Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, United States of America. Electronic address:
Background: The purpose was to investigate the impact of social determinants of health on healthcare utilization among older adults in two cognition groups: normal and dementia/impaired cognition.
Methods: We used cross-sectional data from the Health and Retirement Study (N = 16,339) to assess healthcare utilization: hospital stay, nursing home stay, hospice care, and doctor visits. The respondents were classified into two cognition groups using the Langa-Weir approach.
Contact Dermatitis
January 2025
Department of Dermatology, Bispebjerg Hospital, Copenhagen, Denmark.
Background: Hand eczema (HE) is common among hospital cleaners, yet no specific prevention programme exists for this group in Denmark.
Objectives: To evaluate the effectiveness of visual aids (pictograms and video scenes) based on evidence-based skin care and protection recommendations on HE outcomes, focusing on disease severity, point prevalence and skin care and protection knowledge.
Methods: A cluster-randomised controlled trial was conducted in professional cleaners from three Danish hospitals.
Analyst
January 2025
Department of Physics and Astronomy, Franklin College of Arts and Sciences, University of Georgia, Athens, Georgia 30602, USA.
Surface-enhanced Raman spectroscopy (SERS) holds remarkable potential for the rapid and portable detection of trace molecules. However, the analysis and comparison of SERS spectra are challenging due to the diverse range of instruments used for data acquisition. In this paper, a spectra instrument transformation framework based on the penalized functional regression model (SpectraFRM) is introduced for cross-instrument mapping with subsequent machine learning classification to compare transformed spectra with standard spectra.
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