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Journal of Applied Statistics Volume 51, 2024 - Issue 5
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Articles

A new flexible regression model with application to recovery probability Covid-19 patients

F. Pratavieraa Department of Exact Sciences, University of S ao Paulo, Piracicaba, BrazilORCID Iconhttps://orcid.org/0000-0001-8190-1086View further author information
ORCID Icon,
E. M. Hashimotob Academic Department of Mathematics, Federal University of Technology – Paraná, Londrina, BrazilORCID Iconhttps://orcid.org/0000-0003-0949-2358View further author information
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E. M. M. Ortegac Department Exact Sciences, University of São Paulo, Piracicaba, BrazilORCID Iconhttps://orcid.org/0000-0003-3999-7402View further author information
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G. M. Cordeirod Department of Statistics, Federal University of Pernambuco, Recife, BrazilORCID Iconhttps://orcid.org/0000-0002-3052-6551View further author information
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V. G. Canchoe Department of Statistics, University of São Paulo, São Carlos, BrazilView further author information
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R. Vilaf Department of Statistics, University of Brasilia, Brasilia, BrazilCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-1073-0114View further author information
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Pages 826-844 | Received 17 Jun 2022, Accepted 22 Dec 2022, Published online: 04 Jan 2023

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Valdemiro P. Vigas, Edwin M. M. Ortega, Adriano K. Suzuki, Gauss M. Cordeiro & Paulo C. dos Santos Junior. (2023) The generalized odd log-logistic-G regression with interval-censored survival data. Journal of Applied Statistics 0:0, pages 1-22.
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Articles from other publishers (1)

Nicollas S. S. da Costa, Maria do Carmo S. de Lima & Gauss M. Cordeiro. (2023) Analyzing County-Level COVID-19 Vaccination Rates in Texas: A New Lindley Regression Model. COVID 3:12, pages 1761-1780.
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