Statistical Procedures for Extracting Optimal Predictor Variables for Use in an Impact Acceleration Injury Prediction Model.

摘要

An empirical impact acceleration injury prediction model can be based on an underlying logistic function using information extracted from dynamic response data to define independent (predictor) variables. This report describes statistical procedures for the extraction of optimal predictor variables. The application of the statistical techniques of principal components analysis and canonical correlation analysis is described. An outline of how the data analysis may be conducted with the BMDP statistical computer package is discussed. (Author)