Evidence map›Paper›PMID 40662095›Full record

ArticleJournal of STEM education : innovations and research

CUBE: A Collaborative Undergraduate Biostatistics Experience To Bring Diversity And Awareness To The Field Of Collaborative Biostatistics.

Alicia J Lozano, Monica L Ahrens, Genevieve R Lyons, Sarah J Ratcliffe, Alexandra L Hanlon, Jennie Z Ma

Abstract read
In one paragraph

Article in Journal of STEM education : innovations and research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Alicia J LozanoVirginia Tech.
Monica L AhrensVirginia Tech.
Genevieve R LyonsUniversity of Virginia.
Sarah J RatcliffeUniversity of Virginia.
Alexandra L HanlonVirginia Tech.
Jennie Z MaUniversity of Virginia.

Funding

The integrated Translational Health Research Institute of Virginia (iTHRIV): Using Data to Improve HealthUL1TR003015 · NCATS · UNIVERSITY OF VIRGINIA · PI BROWN, DONALD E, JOHNSTON, KAREN C. · 2019 to 2023
$20.3M
CUBE: A Collaborative Undergraduate Biostatistics Experience to Diversify and Bring Awareness to the Field of Collaborative BiostatisticsR25DA058482 · NIDA · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI HANLON, ALEXANDRA L · 2023 to 2024
$528k
NCATS NIH HHS UL1 TR003015NIDA NIH HHS R25 DA058482
6 · The paper itself

Abstract

Background: The field of collaborative biostatistics plays a critical role in translating scientific discoveries into practical applications by providing sound statistical analysis, ensuring data integrity, and facilitating interdisciplinary collaboration in translational science and decision-making in healthcare. The role of a collaborative biostatistician is particularly important in addiction and mental health research given the use of complex study designs and statistical methodology, along with large amounts of missing data and study dropout. Despite growth in the demand for collaborative biostatisticians and the number of graduate degrees in biostatistics earned in the United States in recent years, the percentage from underrepresented minorities remains low. To increase awareness and bring diversity to the field of collaborative biostatistics, the Collaborative Undergraduate Biostatistics Experience (CUBE) was developed. CUBE is built on four pillars: training in introductory biostatistics, R programming, professional development, and mentorship through a collaborative biostatistics research project focused in the areas of addiction and mental health. This paper provides an overview of the key components of the CUBE curriculum, evaluation metrics, and results from the CUBE cohort of summer 2023 (N = 5). Results: Eighty percent of participants were female students entering their fourth year of undergraduate study. From pre- to post-program, participants demonstrated increased knowledge in the overall research process, ethical and professional aspects of research, basic concepts in research, data analysis, data management, report preparation, and presenting research. With respect to future education and career plans, most participants felt more confident in planning for their graduate school education and pursuing a career in biostatistics or research. Conclusions: Results from CUBE 2023 highlight its positive impact on participants, particularly in terms of knowledge enhancement and future aspirations. Most participants experienced significant improvements in their understanding of various aspects of the research process. The program played a pivotal role in fostering confidence, and thus positively influencing their future. These results affirm the effectiveness of the CUBE program in equipping aspiring researchers with the skills and confidence needed for successful endeavors in the fields of biostatistics, research, and translational science, with an emphasis on addiction and mental health.

Identifiers

PMID40662095
PMCPMC12258533

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.