Info-gap robustness analysis of linear regression: an epidemiological example

Authors

Yakov Ben‐Haim (ORCID: https://orcid.org/0000-0001-7229-8449)
Maria Melchior (ORCID: https://orcid.org/0000-0002-2377-619X)
Murielle Mary‐Krause (ORCID: https://orcid.org/0000-0002-8156-1007)
Dani Broitman (ORCID: https://orcid.org/0000-0003-0287-4898)
Nataliya Rybnikova

Institutions

Inserm (FR)
Technion – Israel Institute of Technology (IL)
Sorbonne Université (FR)
Institut Pierre Louis d‘Épidémiologie et de Santé Publique (FR)
University of Haifa (IL)

Publication Details

Journal: International Journal of Systems Science
Published: 2024-12-03
DOI: https://doi.org/10.1080/00207721.2024.2434894
Primary Topic: COVID-19 epidemiological studies
Type: article
Field-Weighted Citation Impact: 0.00

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article

Info-gap robustness analysis of linear regression: an epidemiological example

Yakov Ben‐Haim, Maria Melchior, Murielle Mary‐Krause, Dani Broitman et al.

Dec 3, 2024

International Journal of Systems Science

COVID-19 epidemiological studies

article

Info-gap robustness analysis of linear regression: an epidemiological example

Yakov Ben‐Haim, Maria Melchior, Murielle Mary‐Krause, Dani Broitman, Nataliya Rybnikova

December 3, 2024article en

Abstract

No abstract available for this paper.

International Journal of Systems ScienceVol. 56(8)

Inserm (FR), Technion – Israel Institute of Technology (IL), Sorbonne Université (FR), Institut Pierre Louis d‘Épidémiologie et de Santé Publique (FR), University of Haifa (IL)

Openalex Percentile: Top 76%

COVID-19 epidemiological studies

DOI Open Access PDF OpenAlex

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