On a logistic regression model with random intercept: diagnostic analytics, simulation and biological application

Alejandra Tapiaa Faculty of Basic Sciences, Universidad Católica del Maule, Chile

https://orcid.org/0000-0003-0762-7618 View further author information

Victor Leivab School of Industrial Engineering, Pontificia Universidad Católica de Valparaíso, ChileCorrespondence[email protected]

https://orcid.org/0000-0003-4755-3270 View further author information

Manuel Galeac Department of Statistics, Pontificia Universidad Católica de Chile, Chile

https://orcid.org/0000-0001-9819-5843 View further author information

Rachel Werneckd Postgraduate Program in Ecology, Institute of Biosciences, Universidade de São Paulo, Brazil;e Zoological Research Museum Alexander Koenig, Germany

https://orcid.org/0000-0002-0679-6447 View further author information

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Yonghui Liu, Chaoxuan Mao, Víctor Leiva, Shuangzhe Liu & Waldemiro A. Silva Neto. (2022) Asymmetric autoregressive models: statistical aspects and a financial application under COVID-19 pandemic. Journal of Applied Statistics 49:5, pages 1323-1347.
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Alan Dasilva, Renata Dias, Victor Leiva, Carolina Marchant & Helton Saulo. (2020) [Invited tutorial] Birnbaum–Saunders regression models: a comparative evaluation of three approaches. Journal of Statistical Computation and Simulation 90:14, pages 2552-2570.
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Kapil Gupta, Vijayshankar Krishnamurthy & Soudeep Deb. (2024) What elements of the opening set influence the outcome of a tennis match? An in-depth analysis of Wimbledon data. IIMB Management Review.
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Alejandra Tapia, Viviana Giampaoli, Víctor Leiva & Yuhlong Lio. (2020) Data-Influence Analytics in Predictive Models Applied to Asthma Disease. Mathematics 8:9, pages 1587.
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On a logistic regression model with random intercept: diagnostic analytics, simulation and biological application

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On a logistic regression model with random intercept: diagnostic analytics, simulation and biological application

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