A neural network analysis of Lifeways cross-generation imputed data

A neural network analysis of Lifeways cross-generation imputed data

Abstract Objectives Neural networks are a powerful statistical tool that use nonlinear regression type models to obtain predictions. Their use in the Lifeways cross-generation study that examined body mass index (BMI) of children, among other measures, is explored here. Our aim is to predict the BMI...

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Bibliographic Details
Main Author: Gabrielle E. Kelly
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BMC Research Notes
Subjects:
Body mass index
Child
Neural networks
Multiple imputation
Multiple imputation by chained equations
Principal components
Online Access:http://link.springer.com/article/10.1186/s13104-018-4013-2

Internet

http://link.springer.com/article/10.1186/s13104-018-4013-2

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