Evidence map›Paper›PMID 40567965›Full record

ArticleFrontiers in public health2025

Breaking tradition: should biostatistics doctoral qualifying exams evolve to better serve our students' ability to demonstrate readiness to conduct independent research?

Scarlett L Bellamy, Lisa M Sullivan

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Scarlett L BellamyDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, United States.
Lisa M SullivanDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Doctoral programs in science, technology, engineering, and mathematics (STEM) education often include qualifying exams as a central component of the curriculum. While these exams are designed to assess a student's knowledge and potential to conduct independent research as part of the culminating dissertation phase of their studies, they can also inadvertently perpetuate structural biases and barriers for underrepresented groups. Biostatistics programs have increasingly focused on efforts to address diversity. While some programs had long-standing initiatives, others began following the summer of 2020. The momentum following some of these efforts has been disrupted following the recent Supreme Court ruling around the college admissions process. In response to the Association of Schools and Programs of Public Health's Framing the Future 2030 (ASPPH FTF2030) call to action, most specifically to "create and support inclusive and anti-racist teaching, learning, and working environments," we propose examining the structure of the written qualifying examination to mitigate potential disparities in student success in doctoral training programs including the format of the exams, the evaluation criteria, and the support available to students as they prepare for the exam. In this paper, we briefly review the history and founding of our discipline, present data on the continuing under-representation of historically marginalized groups in our field, review the basic structure and purported purpose of the qualifying exam, and finally we propose several recommendations to address this potential structural barrier and encourage others to engage in critical reflection of their curricular requirements to assess whether they promote inclusive excellence.

Indexed as

BiostatisticsEducational MeasurementEducation, GraduateResearchStudentsCurriculumHumansMinority Groupsbiostatisticsdisparitiesdoctoral curriculumequityqualifying exam

Identifiers

PMID40567965
PMCPMC12187681

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.