LabCompass

Giorgos Bakoyannis

Mathematics · Indiana University

Publications

113

Citations

1,223

Est. group size

Recurring co-author estimate

Active years

19

Publishing since 2008

Research summary
AI-generated

Giorgos Bakoyannis develops statistical methods for analyzing complex health and medical data, with a focus on 'survival' and 'competing risks' models that track how and when different types of events (such as disease progression or death) occur over time. Much of the work addresses practical data challenges like misclassified outcomes, missing information, and clustered observations, and connects these methods to causal analysis and personalized treatment decisions. These techniques are frequently applied to clinical studies in areas such as HIV/AIDS, cancer care, and transplantation.

Survival and competing risks analysisMultistate process modelingCausal inference and individualized treatment rulesMethods for misclassified or missing dataBiostatistics for clinical studies

Publication output was high in the late 2010s (around 15-17 per year) and has decreased over the last several years, averaging about 5 per year recently.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 5.0/year recently
2017: 17 publications17172018: 10 publications182019: 16 publications192020: 15 publications202021: 8 publications212022: 7 publications222023: 4 publications232024: 3 publications242025: 6 publications252026: 5 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×9
  • Statistics in Medicine×5
  • Western Journal of Nursing Research×4
  • PMC×4
  • PLoS ONE×3

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 11, 2026.

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