Statistical Inference Procedures for a Logistic Impact Acceleration Injury Prediction Model.

摘要

This report describes statistical inference procedures relating to a logistic impact acceleration injury prediction model. The inference procedures discussed are interval estimation, hypothesis testing, and critical envelope estimation. Fundamentally, a critical envelope defines the independent variable combination such that the probability of injury is unlikely to exceed a prespecified value. Examples of the inference procedures discussed are given using data from a Monte Carlo simulation study. (Author)