@article{ref1,
title="Predicting pilot-error incidents of US airline pilots using logistic regression",
journal="Applied ergonomics",
year="1997",
author="McFadden, K. L.",
volume="28",
number="3",
pages="209-212",
abstract="In a population of 70,164 airline pilots obtained from the Federal Aviation Administration, 475 males and 22 females had pilot-error incidents in the years 1986-1992. A simple chi-squared test revealed that female pilots employed by major airlines had a significantly greater likelihood of pilot-error incidents than their male colleagues. In order to control for age, experience (total flying hours), risk exposure (recent flying hours) and employer (major/non-major airline) simultaneously, the author built a model of male pilot-error incidents using logistic regression. The regression analysis indicated that youth, inexperience and non-major airline employer were independent contributors to the increased risk of pilot-error incidents. The results also provide further support to the literature that pilot performance does not differ significantly between male and female airline pilots.<p /> <p>Language: en</p>",
language="en",
issn="0003-6870",
doi="",
url="http://dx.doi.org/"
}