title: Predicting success in the tactical air combat party training pipeline.
abstract: OBJECTIVE
  To develop a statistical model that predicts the likelihood of success or failure of military training candidates using tests administered before initial skill training as inputs.
  
  
  METHODS
  Data were acquired from candidates before the start of U.S. Air Force Tactical Air Control Party training, including (1) demographic, (2) psychological composition evaluated using Emotional Quotient Inventory, (3) physical performance capability, (4) a physical activity questionnaire, and (5) salivary fatigue biomarker index. A total of 126 candidates were tracked until they either passed or failed the training, and a total of 55 variables were used as inputs for creation of the model.
  
  
  RESULTS
  Clustering analysis of the data revealed that only 4 of 55 variables were useful for predicting success or failure. The variables in the order of their importance are as follows: run time, number of miles run per week in the last year, level of salivary fatigue biomarker, and height.
  
  
  CONCLUSIONS
  The results suggest that simple testing methods can identify candidates at high risk of failure.
authors.affiliation: Hyperion Biotechnology, 13302 Langtry Street, San Antonio, TX 78248, USA.
authors.forename: John
authors.initials: J
authors.lastname: Kalns
authors.forename: Jonathan
authors.initials: J
authors.lastname: Baskin
authors.forename: Andrew
authors.initials: A
authors.lastname: Reinert
authors.forename: Darren
authors.initials: D
authors.lastname: Michael
authors.forename: Adrienne
authors.initials: A
authors.lastname: Santos
authors.forename: Sheena
authors.initials: S
authors.lastname: Daugherty
authors.forename: James K
authors.initials: JK
authors.lastname: Wright
mesh_terms: D000328:Adult; D000367:Age Factors; D001076:Aptitude; D015415:Biomarkers / Q000378:metabolism; D003663:Decision Trees; D004493:Education / Q000592:standards*; D005221:Fatigue / Q000378:metabolism*; D006801:Humans; D008889:Military Personnel / Q000193:education / Q000523:psychology*; D010455:Peptides / Q000378:metabolism*; D010809:Physical Fitness; D011237:Predictive Value of Tests; D012463:Saliva / Q000378:metabolism; D011795:Surveys and Questionnaires; D055815:Young Adult
chemical_list: D015415:Biomarkers; D010455:Peptides