title: A validation study for using iterative proportional fitting to weight the Traumatic Brain Injury Model Systems National Database: an NIDRR-sponsored study.
abstract: OBJECTIVE
  To verify that iterative proportional fitting (IPF), or raking, has the desired effect of aligning estimates and parameters so that researches have confidence in population projections when weighting the Traumatic Brian Injury Model Systems National Database.
  
  
  METHODS
  Secondary data analysis using IPF.
  
  
  METHODS
  Inpatient rehabilitation.
  
  
  METHODS
  People aged 16 years and older with a primary diagnosis of traumatic brain injury receiving initial inpatient rehabilitation.
  
  
  METHODS
  Not applicable.
  
  
  METHODS
  Age at injury, race, sex, marital status, rehabilitation length of stay, payer source, and motor and cognitive FIM scores.
  
  
  RESULTS
  This study demonstrates the utility of applying IPF to weight the TBI Model System National Database so that results of ensuing statistical analyses better reflect those in the United States who are 16 years and older with a primary diagnosis of TBI and are receiving inpatient rehabilitation.
  
  
  CONCLUSIONS
  In general, IPF aligns population estimates on the basis of weighted Traumatic Brian Injury Model Systems data and known population parameters. It is reasonable to assume that IPF has the same effect on unknown variables. This provides confidence to researchers wishing to use IPF for making population projections in analyses.
authors.affiliation: Craig Hospital, Englewood, CO; Traumatic Brain Injury National Data and Statistical Center, Englewood, CO. Electronic address: cpretz@craighospital.org.
authors.forename: Christopher R
authors.initials: CR
authors.lastname: Pretz
authors.affiliation: Craig Hospital, Englewood, CO.
authors.forename: Jeffrey P
authors.initials: JP
authors.lastname: Cuthbert
authors.affiliation: Craig Hospital, Englewood, CO.
authors.forename: Gale G
authors.initials: GG
authors.lastname: Whiteneck
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D001930:Brain Injuries / Q000453:epidemiology* / Q000534:rehabilitation*; D003627:Data Interpretation, Statistical; D016208:Databases, Factual; D005260:Female; D006801:Humans; D007902:Length of Stay; D008297:Male; D008875:Middle Aged; D011379:Prognosis; D015203:Reproducibility of Results; D012737:Sex Factors; D012959:Socioeconomic Factors; D015599:Trauma Severity Indices; D014481:United States; D055815:Young Adult
keywords: Brain injuries; Epidemiology; Forecasting; Rehabilitation