Statistical Tools for Determining Fitness to Fly

Abstract

The goal of this project is to use data from regularly scheduled physical examinations to estimate the probability of an event such as a heart attack. This is done via the construction of a mathematical model. A high probability of an event as computed by the model would be evidence of a high risk case. The model developed here, termed the periodic checkup predictive model, is a survival distribution model similar to the proportional hazards model when there is little or no loss to followup and to logistic regression when the object is to predict the occurrence of an event during a fixed interval of time.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1981
Accession Number
ADA108599

Entities

People

  • Gerald A. Shea
  • Patrick L. Brockett

Organizations

  • University of Texas at Austin

Tags

Communities of Interest

  • Biomedical
  • Cyber
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Boundaries
  • Cardiovascular Physiological Phenomena
  • Data Science
  • Discriminant Analysis
  • Diseases And Disorders
  • Equations
  • Health Services
  • Mathematics
  • Medical Personnel
  • Military Personnel
  • Myocardial Ischemia
  • Probability
  • Probability Distributions
  • Simultaneous Equations
  • Statistical Algorithms

Fields of Study

  • Mathematics

Readers

  • Computational Modeling and Simulation
  • Psychological Intervention/Treatment for Stress, Anxiety, PTSD, and Related Emotional and Cognitive Health Symptoms.
  • Women's Health and Cancer Risk Research: African American Women and Pregnancy Outcomes.