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Enhancing Team Science by Training Collaborative Biostatisticians to have a Strong Statistical Voice.

Publication ,  Journal Article
Pomann, G-M; Grambow, SC; Ashner, MC; Chakraborty, B; Liu, N; Neely, ML; Peskoe, S; Rende, L; Slade, E; Truong, T; Yang, LZ; Samsa, GP; Troy, JD
Published in: J Stat Theory Pract
2026

Strong statistical voice is defined as the ability to advocate and negotiate for good and ethical statistical practices, including integrating and resolving differing scientific approaches. This skill is crucial for biostatisticians who work on biomedical research teams, as it ensures the integrity and accuracy of statistical analyses and fosters productive collaborations with non-statisticians. Despite its importance, new graduates often lack targeted training opportunities. This manuscript presents a scalable training approach through the development of online videos. Preliminary didactic materials focused on two key applications: providing written comments on manuscripts and engaging in study design discussions. To evaluate this training approach, a survey was conducted among biostatistics staff in the Duke Biostatistics, Epidemiology, and Research Design Core. The survey results indicated that all respondents strongly agreed on the importance of strong statistical voice in biostatistics practice. The clarity of the training materials and examples received positive feedback, though suggestions for improvement included enhancing video engagement and providing more hands-on training. This information will guide the development of formal training videos embedded within a mentored training program that aims to teach biostatisticians and other quantitative scientists how to effectively work on teams in biomedical research.

Duke Scholars

Published In

J Stat Theory Pract

DOI

ISSN

1559-8608

Publication Date

2026

Volume

20

Issue

1

Start / End Page

13

Location

United States

Related Subject Headings

  • 4905 Statistics
  • 0104 Statistics
 

Citation

APA
Chicago
ICMJE
MLA
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Pomann, G.-M., Grambow, S. C., Ashner, M. C., Chakraborty, B., Liu, N., Neely, M. L., … Troy, J. D. (2026). Enhancing Team Science by Training Collaborative Biostatisticians to have a Strong Statistical Voice. J Stat Theory Pract, 20(1), 13. https://doi.org/10.1007/s42519-025-00522-7
Pomann, Gina-Maria, Steven C. Grambow, Marissa C. Ashner, Bibhas Chakraborty, Nan Liu, Megan L. Neely, Sarah Peskoe, et al. “Enhancing Team Science by Training Collaborative Biostatisticians to have a Strong Statistical Voice.J Stat Theory Pract 20, no. 1 (2026): 13. https://doi.org/10.1007/s42519-025-00522-7.
Pomann G-M, Grambow SC, Ashner MC, Chakraborty B, Liu N, Neely ML, et al. Enhancing Team Science by Training Collaborative Biostatisticians to have a Strong Statistical Voice. J Stat Theory Pract. 2026;20(1):13.
Pomann, Gina-Maria, et al. “Enhancing Team Science by Training Collaborative Biostatisticians to have a Strong Statistical Voice.J Stat Theory Pract, vol. 20, no. 1, 2026, p. 13. Pubmed, doi:10.1007/s42519-025-00522-7.
Pomann G-M, Grambow SC, Ashner MC, Chakraborty B, Liu N, Neely ML, Peskoe S, Rende L, Slade E, Truong T, Yang LZ, Samsa GP, Troy JD. Enhancing Team Science by Training Collaborative Biostatisticians to have a Strong Statistical Voice. J Stat Theory Pract. 2026;20(1):13.
Journal cover image

Published In

J Stat Theory Pract

DOI

ISSN

1559-8608

Publication Date

2026

Volume

20

Issue

1

Start / End Page

13

Location

United States

Related Subject Headings

  • 4905 Statistics
  • 0104 Statistics