Mining trauma injury data with imputed values

DOI10.1002/SAM.10044OpenAlexW3083642498MaRDI QIDQ4969696

Kay I. Penny, Thomas Chesney

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/sam.10044

zbMATH Keywords

logistic regressiondata miningartificial neural networkmissing data imputationtrauma injury

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Uses Software

• BayesDA
• impute

Cites Work

• Unnamed Item
• Unnamed Item
• Inductive learning models with missing values
• Effects of the neural network s-sigmoid function on KDD in the presence of imprecise data
• The central role of the propensity score in observational studies for causal effects
• The elements of statistical learning. Data mining, inference, and prediction

This page was built for publication: Mining trauma injury data with imputed values