Regression tree analysis for predicting slaughter weight in broilers
نویسندگان
چکیده
منابع مشابه
Logistic Regression Tree Analysis
This chapter describes a tree-structured extension and generalization of the logistic regression method for fitting models to a binary-valued response variable. The technique overcomes a significant disadvantage of logistic regression, which is interpretability of the model in the face of multicollinearity and Simpson’s paradox. Section 1 summarizes the statistical theory underlying the logisti...
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Background and purpose: Understanding of the risk factors for cardiovascular artery disease, which is the leading cause of death worldwide, can lead to essential changes in its etiology, prevalence, and treatment. The aim of this study was to compare the results of logistic regression model and Classification and Regression Tree Analysis (CART) in determining the prognostic factors for coronary...
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PURPOSE Risk factors for obesity and weight gain are typically evaluated individually while "adjusting for" the influence of other confounding factors, and few studies, if any, have created risk profiles by clustering risk factors. We identified subgroups of postmenopausal women homogeneous in their clustered modifiable and non-modifiable risk factors for gaining ≥ 3% weight. METHODS This stu...
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Background: Low birth weight is one of the key indicators to assess the health of infants, and appropriate birth weight is one of the most important goals of any health system which also reflects the quality of prenatal care. Objectives: The present research aimed to study some of the factors associated with low birth weight using quantile regression analysis. Methods: A cross-sectional s...
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ژورنال
عنوان ژورنال: Italian Journal of Animal Science
سال: 2009
ISSN: 1828-051X
DOI: 10.4081/ijas.2009.615