LabCompass

Eloise Kaizar

Mathematics · The Ohio State University

Mid career · publishing since 2005

Publications

44

Citations

1,670

Est. group size

Recurring co-author estimate

Active years

22

Publishing since 2005

Research summary
AI-generated

Eloise Kaizar works in statistics, focusing on methods for making study results more broadly applicable and trustworthy. Her work covers combining evidence from clinical trials, extending trial findings to different populations, handling missing data in meta-analyses, and improving techniques for regression discontinuity designs (a way to estimate cause-and-effect relationships using data near a threshold). This research is generally aimed at improving the reliability of medical and educational research findings when applied beyond the original study sample.

Causal inference and treatment effect estimationGeneralizing clinical trial results to broader populationsMeta-analysis and combining evidence across studiesRegression discontinuity design methodologyMissing data and statistical estimation methods

Publication output has been fairly steady but modest over the last decade, with a peak in 2021, a gap in 2024, and continued activity into 2025-2026.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 1.6/year recently
2017: 3 publications172018: 2 publications182019: 2 publications192020: 2 publications202021: 5 publications5212022: 3 publications222023: 2 publications23242025: 2 publications252026: 1 publication26
Publishes in
  • arXiv (Cornell University)×3
  • Statistics in Medicine×2
  • PLoS ONE×1
  • Journal of Head Trauma Rehabilitation×1
  • Journal of the International Neuropsychological Society×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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