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

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

Abstract

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.