Analysis of the United States pilot population from 1983-2005
Federal Aviation Administration, Office of Aerospace Medicine, 2009 - Air pilots - 19 pages
The size of the U.S. civil aviator community has been of interest to researchers, policy makers, and special interest groups. A strict definition for membership in the U.S. pilot population was used that was based on Scientific Information System principles. This approach provides methods for scientists to describe, quantify, and predict changes in this population over the 23-year study period. The Bioinformatics Research Team at the Civil Aerospace Medical Institute (CAMI) analyzed and modeled the counts of the U.S. pilot population using a segmented linear regression model. A dataset was constructed, based upon the methods prescribed by Scientific Information System principles of data construction, from 1983 to 2005. This methodology was selected since the data represent the entire population of pilots, rather than just a sample. Thus, the statistical results are population parameters, rather than estimates, and are not subject to sampling error. The airmen population was constructed and examined for each year of the study period. The criterion for membership of the U.S. civil pilot population is based on the medical examination that each airman must pass to hold a pilot certificate. A segmented linear regression model was chosen because of its flexibility in accounting for any policy changes that occurred over the 23-year study period.--P. i.
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2005 Year Figure 60 Rule active airman population active airmen algorithm active pilot population airman medical certificate Average Hours Reported Aviation Medical Examiner Aviation Safety Bioinformatics Booze certificate is valid Civil Aerospace Medical civil airman population civil aviator community civil pilot population coefficient of determination data anomalies database dataset duration of medical electronic medical records error term examined exercise the privileges first-class medical certificate flight hours gender ICAO indicator variable Information System principles linear regression model measures of experience medical certificate holders medical class medical exam month of issuance months for activities number of active Number of Medical number of pilots Numbers Figure overall numbers p-value Population Frequencies Population Pyramid predicted R-square regulatory change researchers Scientific Information System second-class medical certificate segmented linear regression third-class medical certificate tion U.S. civil airman U.S. civil aviator U.S. civil pilot U.S. pilot population valid medical certificate women Y-intercept