ArticleJAMA network open2026
Work-Life Balance of Collaborative Statisticians and Methodologists in Multidisciplinary Settings.
Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Collaborative statisticians and methodologists are essential members of multidisciplinary teams, yet little is known about how their diverse responsibilities, including technical analysis, project leadership, and domain-specific consultation across multiple concurrent projects, affect their work-life balance and professional well-being. Objective: To assess perceptions of work-life balance and identify individual, job-related, and organizational factors associated with work-life balance among collaborative statisticians and methodologists working in multidisciplinary settings. Design, Setting, and Participants: This cross-sectional survey study collected data from November 2022 to May 2024, with analysis conducted in December 2024. Anonymous electronic surveys were distributed through international professional statistical societies, including organizations in North America, Europe, Africa, South America, and Asia. Participants were recruited via a convenience sample through society email listservs and newsletters. Eligible respondents were statisticians, data scientists, or methodologists working in multidisciplinary collaborative settings who had been continuously employed full-time during the previous year. Main Outcomes and Measures: Work-life balance was assessed using the 15-item Work-Life Balance Self-Assessment Scale, which consists of 3 subscales: Work Interference With Personal Life, Personal Life Interference With Work, and Work/Personal Life Enhancement. Regression analyses were used to identify the demographic, organizational, and discipline-specific factors associated with respondents' perception of work-life balance. Results: Of 627 individuals who accessed the survey, 450 (71.8%) met eligibility criteria and completed the survey. Of the 450 respondents who completed the survey, the mean (SD) age was x (y) years, 240 (53.7%) were female, and 270 (60.0%) worked in academia; 143 (31.8%) reported dissatisfaction with their work-life balance, and an additional 47 (10.4%) reported neutral satisfaction. Factors associated with higher work interference scores included unmanageable workload (mean difference, 0.70; 95% CI, 0.48 to 0.92), work-related health issues (mean difference, 0.58; 95% CI, 0.33 to 0.83), inability to complete work during regular hours (mean difference, 0.56; 95% CI, 0.34 to 0.78), and lack of organizational support for work-life balance (mean difference, 0.48; 95% CI, 0.24 to 0.73). Organizational flexibility to attend to personal matters (mean difference, -0.33; 95% CI, -0.64 to -0.01) and adequate compensation (mean difference, -0.29; 95% CI, -0.49 to -0.09) were associated with lower interference scores. Conclusions and Relevance: These findings suggest that targeted educational initiatives, effective mentorship, and wellness-focused organizational policies can foster sustainable work-life balance among statisticians and methodologists in multidisciplinary settings.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.