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Logistic regression model for predicting animal health status based on scalar and functional covariates

Grant number: 20/01436-0
Support type:Scholarships in Brazil - Scientific Initiation
Effective date (Start): September 01, 2020
Effective date (End): June 30, 2021
Field of knowledge:Physical Sciences and Mathematics - Probability and Statistics - Statistics
Principal researcher:Mariana Rodrigues Motta
Grantee:Rodrigo Forti
Home Institution: Instituto de Matemática, Estatística e Computação Científica (IMECC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil


In this study, the objective is to model the probability of disease in animals using logistic regression models with scalar and functional variables. For this, generalized additive models will be considered. The data to be used in this project are part of a base of Cornell University's Dairy Cattle Biology and Management laboratory.

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