title: Assessing risk factors for mortality in elderly White and African American people: implications of alternative analyses.
abstract: OBJECTIVE
  The aim of this study was to ascertain whether the determinants of death differ as a function of type of analysis in a representative sample of older African American and White people with comparable mortality rates.
  
  
  METHODS
  Participants included all African American (n = 2,261) and White (n = 1,875) people at the Duke site of the Established Populations for Epidemiological Studies of the Elderly. Baseline information used to predict mortality 12 years later included demographic, health, and functional characteristics. Mortality (55% for African American people and 54% for White people) was determined through the National Death Index. Cox proportional hazards models, logistic regression, and tree-based classification analysis were used (separately for African American and White people) to identify risk factors for mortality.
  
  
  RESULTS
  Risk factors for mortality were comparable, but the constellation of characteristics indicating higher risk for death differed between African American and White people.
  
  
  CONCLUSIONS
  Proportional hazards and logistic regression identified risk factors in general; tree-based classification models identified the characteristics of groups at risk. The analysis used may influence the type and manner of intervention.
authors.affiliation: Department of Biostatistics and Bioinformatics, Box 3003, Duke University Medical Center, Durham, NC 27710, USA. mnk@geri.duke.edu
authors.forename: Maragatha
authors.initials: M
authors.lastname: Kuchibhatla
authors.forename: Gerda G
authors.initials: GG
authors.lastname: Fillenbaum
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D044383:Black People; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D009026:Mortality; D016016:Proportional Hazards Models; D012307:Risk Factors; D044465:White People; D001741:Black or African American