A new flexible regression model with application to recovery probability Covid-19 patients-Reference-Cited by-同舟云学术

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

Published:2023-01-04 Issue: Volume: Page:1-19
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Prataviera F.¹^ORCID,Hashimoto E. M.²^ORCID,Ortega E. M. M.³^ORCID,Cordeiro G. M.⁴^ORCID,Cancho V. G.⁵,Vila R.⁶^ORCID

Affiliation:

1. Department of Exact Sciences, University of S ao Paulo, Piracicaba, Brazil

2. Academic Department of Mathematics, Federal University of Technology – Paraná, Londrina, Brazil

3. Department Exact Sciences, University of São Paulo, Piracicaba, Brazil

4. Department of Statistics, Federal University of Pernambuco, Recife, Brazil

5. Department of Statistics, University of São Paulo, São Carlos, Brazil

6. Department of Statistics, University of Brasilia, Brasilia, Brazil

Funder

CAPES

CNPq

Roberto Vila

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2022.2163229

Reference35 articles.

1. Some Characterizations of the Log-Logistic Distribution

2. Data analysis of coronavirus COVID‐19 epidemic in South Korea based on recovered and death cases

3. Worm plot: a simple diagnostic device for modelling growth reference curves

4. A flexible model for survival data with a cure rate: a Bayesian approach

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Analyzing County-Level COVID-19 Vaccination Rates in Texas: A New Lindley Regression Model;COVID;2023-12-04

2. The generalized odd log-logistic-G regression with interval-censored survival data;Journal of Applied Statistics;2023-07-12

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