Evidence map›Paper›PMID 33776396›Full record

ArticleJournal of statistics education : an international journal on the teaching and learning of statistics2020

Creating and sustaining effective pipeline initiatives to increase diversity in biostatistics: the ENAR Fostering Diversity in Biostatistics Workshop.

Ekt Benn, L P Tabb, P Exum, R H Moore, K H Morales, F Simpson, S A Lawrence, S L Bellamy

Open access · goldAbstract read
In one paragraph

Article in Journal of statistics education : an international journal on the teaching and learning of statistics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 33% of its field
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
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

8 authors at 7 institutions in 1 country.

Ekt BennCenter for Scientific Diversity, Center for Biostatistics, and Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY.
L P TabbDepartment of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA.
P ExumSAS Institute, Cary NC.
R H MooreDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University.
K H MoralesDepartment of Biostatistics, Epidemiology & Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
F SimpsonDepartment of Mathematics, Winston-Salem State University, Winston Salem, NC.
S A LawrenceCenter for Scientific Diversity, Center for Biostatistics, and Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY.
S L BellamyDepartment of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA.
Drexel University · USColumbia University · USEmory University · USIcahn School of Medicine at Mount Sinai · USSAS Institute (United States) · USUniversity of Pennsylvania · USWinston-Salem State University · US

Funding

Fostering Diversity in Biostatistics WorkshopR13GM075338 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI BELLAMY, SCARLETT · 2005 to 2017
$455k
NIGMS NIH HHS R13 GM075338
6 · The paper itself

Abstract

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.

Indexed as

BiostatisticsdiversitymentoringpipelinestatisticsSTEM

Identifiers

PMID33776396
PMCPMC7993064
OpenAlexW3083906981

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.