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Josu Najera Zuloaga

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Josu Najera Zuloaga

Josu Najera-Zuloaga has a degree and a Ph.D. in mathematics from the University of the Basque Country (EHU) in 2013 and 2017, respectively. He is currently an assistant professor in the Department of Mathematics at the EHU. His main research interest is focused on the development of hierarchical regressions, such as longitudinal or multidimensional models, with special application to patient-reported outcomes in the biomedical field. He has published scientific articles in mathematics and health sciences indexed journals. He has also participated in several research projects, networks and research groups.

Projects

  • Biostatnet - Facing Biostatistical Research Challenges with International Projection

    Principal Investigator: Cadarso Suarez, Carmen

    Funding entity: (2015 - 2018)

  • BIOSTATNET: potenciando la excelencia investigadora nacional e internacional en bioestadí­stica

    Funding entity: (2020 - 2023)

  • Group on Applied Mathematical Modeling, Statistics, and Optimization (MATHMODE)

    Principal Investigator: David Pardo Zubiaur

    Funding entity: (2022)

  • Grupo de Investigación en Bioestadí­stica

    Principal Investigator: Arostegui Madariaga, Inmaculada

    Funding entity: (2019 - 2023)

  • MATHMODE: Group on Applied Mathematical Modeling, Statistics and Optimization

    Principal Investigator: David Pardo Zubiaur

    Funding entity: (2023 - 2025)

  • Métodos Avanzados en Modelos Espaciales de Sobredispersión. Modelización de la Calidad de Vida Relacionada con la Salud y Datos Longitudinales: Desarrollo, Implementación y Validación

    Principal Investigator: Vicente Nuñez Antón

    Funding entity: (2017 - 2023)

Recent publications

  • Najera-Zuloaga, J., Gómez Melis, G., Besalú, M. "Second Order Markov multistate models: inference proposal, simulation study and Covid-19 patients application". XX Conferencia Española de Bioestadística. Elche, 16/09/2025.

  • Dae-Jin Lee; Cristina Galán García-Arcicollar; Josu Najera Zuloaga; Danilo Alvares da Silva. "Bayesian joint modeling for longitudinal patient-reported outcomes and survival data". 7th International Conference on Econometrics and Statistics. Tokio, 21/08/2025.

  • Reyes J, Najera-Zuloaga J, Lee DJ, Arrué J, Iriarte YA. A Bimodal Extension of the Beta-Binomial Distribution with Applications. Axioms. 2024 09;13:662. doi:10.3390/axioms13100662.

  • A two stage joint modelling of longitudinal discrete bounded outcomes and survival analysis: an application to chronic obstructive pulmonary disease patients.

  • A joint modelling approach for Health-Related Quality of Life and survival analysis of a 5-year follow-up study of COPD patients.

  • Mortality analysis of a 5-year follow-up study of COPD patients with survival trees.

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