Combining non-parametric models with logistic regression: an application to motor vehicle injury data.
type: Item
instance of: scholarly article
title: Combining non-parametric models with logistic regression: an application to motor vehicle injury data.
zbMATH Open document ID: 1046.62040
DOI: 10.1016/S0167-9473(99)00099-7
author: R. McClure
author: Petra Kuhnert
author: Kim-Anh Do
published in: Computational Statistics and Data Analysis
publication date: 2000-10-26T00:00:00Z
review text: To date, computer-intensive nonparametric modelling procedures such as classification and regression trees (CART) and multivariate adaptive regression splines (MARS) have rarely been used in the analysis of epidemiological studies. Most published studies focus on techniques such as logistic regression to summarise their results simply in the form of odds ratios. However flexible, nonparametric techniques such as CART and MARS can provide more informative and attractive models whose individual components can be displayed graphically. An application of these sophisticated techniques in the analysis of an epidemiological case-control study of injuries resulting from motor vehicle accidents has been encouraging. They have not only identified potential areas of risk largely governed by age and number of years driving experience but can also identify outlier groups and can be used as a precursor to a more detailed logistic regression analysis.
Mathematics Subject Classification ID: 62G08
Mathematics Subject Classification ID: 62J12
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 1521710
zbMATH Keywords: classification and regression trees
zbMATH Keywords: injury
zbMATH Keywords: logistic regression
zbMATH Keywords: multivariate adaptive regression splines
zbMATH Keywords: recursive partitioning
describes a project that uses: S-PLUS
describes a project that uses: rpart
describes a project that uses: R
describes a project that uses: C4.5
MaRDI profile type: Publication
cites work: Q4039954
cites work: Q3327527
cites work: Q5598050
cites work: Multivariate adaptive regression splines
cites work: Q3998409
cites work: Best Subsets Logistic Regression
cites work: Nonlinear Modeling of Time Series Using Multivariate Adaptive Regression Splines (MARS)
cites work: Q4843404
cites work: Q4298917
cites work: Q4314469
Wikidata QID: Q128054129
description: scientific article; zbMATH DE number 1521710