title: Predicting pilot-error incidents of US airline pilots using logistic regression.
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.
authors.affiliation: Northern Illinois University, Operations Management and Information Systems, DeKalb 60115-2854, USA.
authors.forename: K L
authors.initials: KL
authors.lastname: McFadden
mesh_terms: D000060:Accidents, Aviation / Q000706:statistics & numerical data*; D000328:Adult; D001359:Aviation / Q000706:statistics & numerical data*; D006804:Ergonomics; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D014481:United States