title: Statistical considerations in the development of injury risk functions.
abstract: OBJECTIVE
  We address 4 frequently misunderstood and important statistical ideas in the construction of injury risk functions. These include the similarities of survival analysis and logistic regression, the correct scale on which to construct pointwise confidence intervals for injury risk, the ability to discern which form of injury risk function is optimal, and the handling of repeated tests on the same subject.
  
  
  METHODS
  The statistical models are explored through simulation and examination of the underlying mathematics.
  
  
  RESULTS
  We provide recommendations for the statistically valid construction and correct interpretation of single-predictor injury risk functions.
  
  
  CONCLUSIONS
  This article aims to provide useful and understandable statistical guidance to improve the practice in constructing injury risk functions.
authors.affiliation: a University of Virginia Department of Public Health Sciences , Charlottesville , Virginia.
authors.forename: Timothy L
authors.initials: TL
authors.lastname: McMurry
authors.forename: Gerald S
authors.initials: GS
authors.lastname: Poplin
mesh_terms: D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D016001:Confidence Intervals; D006801:Humans; D016015:Logistic Models; D015233:Models, Statistical; D018570:Risk Assessment / Q000379:methods; D016019:Survival Analysis; D014947:Wounds and Injuries / Q000453:epidemiology*
keywords: cadaver test; crash dummies; injury risk function; modeling; statistics; survival analysis