Evidence map›Paper›PMID 39176389›Full record

ArticleStat (International Statistical Institute)2024

Methods for building a staff workforce of quantitative scientists in academic health care.

Sarah Peskoe, Emily Slade, Lacey Rende, Mary Boulos, Manisha Desai, Mihir Gandhi, Jonathan A L Gelfond, Shokoufeh Khalatbari, Phillip J Schulte, Denise C Snyder and 4 more

Abstract read
In one paragraph

Article in Stat (International Statistical Institute), 2024. 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
–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

2 citing papers in PubMed.

  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

14 authors.

Sarah PeskoeDepartment of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA.ORCID 0000-0002-1190-3606
Emily SladeDepartment of Biostatistics, University of Kentucky, Lexington, Kentucky, USA.ORCID 0000-0002-1654-3822
Lacey RendeDepartment of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA.ORCID 0009-0005-8695-1839
Mary BoulosQuantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Palo Alto, California, USA.
Manisha DesaiQuantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Palo Alto, California, USA.ORCID 0000-0002-6949-2651
Mihir GandhiCentre for Quantitative Medicine, Duke-NUS Medical School, Singapore City, Singapore.
Jonathan A L GelfondDepartment of Epidemiology and Biostatistics, The University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
Shokoufeh KhalatbariMichigan Institute for Clinical & Health Research, University of Michigan, Ann Arbor, Michigan, USA.
Phillip J SchulteDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Denise C SnyderOffice of Clinical Research, School of Medicine, Duke University, Durham, North Carolina, USA.
Sandra L TaylorDepartment of Public Health Sciences, University of California Davis, Sacramento, California, USA.
Jesse D TroyDepartment of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA.ORCID 0000-0001-5410-8146
Roger VaughanCentre for Quantitative Medicine, Duke-NUS Medical School, Singapore City, Singapore.
Gina-Maria PomannDepartment of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA.ORCID 0000-0002-6324-3953

Funding

Support for QA/QC for Prior Approval ProcessUL1TR002553 · NCATS · DUKE UNIVERSITY · PI LI, JENNIFER S, MCNAMARA, JAMES O. · 2018 to 2023
$58.5M
NCATS NIH HHS UL1 TR002553
6 · The paper itself

Abstract

Collaborative quantitative scientists, including biostatisticians, epidemiologists, bio-informaticists, and data-related professionals, play vital roles in research, from study design to data analysis and dissemination. It is imperative that academic health care centers (AHCs) establish an environment that provides opportunities for the quantitative scientists who are hired as staff to develop and advance their careers. With the rapid growth of clinical and translational research, AHCs are charged with establishing organizational methods, training tools, best practices, and guidelines to accelerate and support hiring, training, and retaining this staff workforce. This paper describes three essential elements for building and maintaining a successful unit of collaborative staff quantitative scientists in academic health care centers: (1) organizational infrastructure and management, (2) recruitment, and (3) career development and retention. Specific strategies are provided as examples of how AHCs can excel in these areas.

Indexed as

academic health care centerscollaborative biostatisticsdata sciencequantitative staff

Identifiers

PMID39176389
PMCPMC11340733

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.