Giorgos Bakoyannis
Mathematics · Indiana University
Publications
113
Citations
1,223
Est. group size
—
Recurring co-author estimate
Active years
19
Publishing since 2008
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.
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
- Semiparametric Regression for Misclassified Competing Risks Data
arXiv (Cornell University) · 2026
- Semiparametric Regression for Misclassified Competing Risks Data
arXiv (Cornell University) · 2026
- clusteredMSM: Nonparametric Analysis of Clustered Multistate Processes
2026
- Semaglutide in Adults with Type 1 Diabetes and Obesity
NEJM Evidence · 2025
- Non‐Parametric Estimation for Semi‐Competing Risks Data With Event Misascertainment
Statistics in Medicine · 2025
- Accounting for Misclassification of Cause of Death in Weighted Cumulative Incidence Functions for Causal Analyses
Statistics in Medicine · 2025
- A simple nonparametric least-squares-based causal inference for heterogeneous treatment effects
Journal of nonparametric statistics · 2024
- Estimating Optimal Individualized Treatment Rules with Multistate Processes
Biometrics · 2023
- Nonparametric tests for multistate processes with clustered data
Annals of the Institute of Statistical Mathematics · 2022
- Estimating optimal individualized treatment rules with multistate processes
arXiv (Cornell University) · 2022
- Variance estimation in pseudo-expected estimating equations for missing data
arXiv (Cornell University) · 2022
- Sieve Estimation of a Class of Partially Linear Transformation Models With Interval-Censored Competing Risks Data
Statistica Sinica · 2021
- Impact of covariate omission and categorization from the Fine–Gray model in randomized-controlled trials
Japanese Journal of Statistics and Data Science · 2021
- Nonparametric analysis of nonhomogeneous multistate processes with clustered observations
Biometrics · 2020
- Development and Psychometric Evaluation of the Connectedness with Health Care Providers Scale for Adolescents and Young Adults with Cancer
Journal of Adolescent and Young Adult Oncology · 2020
- 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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