title: Misclassification Adjustment of Family History of Breast Cancer in a Case-Control Study: a Bayesian Approach.
abstract: BACKGROUND
  Misreporting self-reported family history may lead to biased estimations. We used Bayesian methods to adjust for exposure misclassification.
  
  
  METHODS
  A hospital-based case-control study was used to identify breast cancer risk factors among Iranian women. Three models were jointly considered; an outcome, an exposure and a measurement model. All models were fitted using Bayesian methods, run to achieve convergence.
  
  
  RESULTS
  Bayesian analysis in the model without misclassification showed that the odds ratios for the relationship between breast cancer and a family history in different prior distributions were 2.98 (95% CRI: 2.41, 3.71), 2.57 (95% CRI: 1.95, 3.41) and 2.53 (95% CRI: 1.93, 3.31). In the misclassified model, adjusted odds ratios for misclassification in the different situations were 2.64 (95% CRI: 2.02, 3.47), 2.64 (95% CRI: 2.02, 3.46), 1.60 (95% CRI: 1.07, 2.38), 1.61 (95% CRI: 1.07, 2.40), 1.57 (95% CRI: 1.05, 2.35), 1.58 (95% CRI: 1.06, 2.34) and 1.57 (95% CRI: 1.06, 2.33).
  
  
  CONCLUSIONS
  It was concluded that self-reported family history may be misclassified in different scenarios. Due to the lack of validation studies in Iran, more attention to this matter in future research is suggested, especially while obtaining results in accordance with sensitivity and specificity values.
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran E-mail : mansournia_ma@yahoo.com, holakoik@hotmail.com.
authors.forename: Rahmatollah
authors.initials: R
authors.lastname: Moradzadeh
authors.forename: Mohammad Ali
authors.initials: MA
authors.lastname: Mansournia
authors.forename: Taban
authors.initials: T
authors.lastname: Baghfalaki
authors.forename: Reza
authors.initials: R
authors.lastname: Ghiasvand
authors.forename: Mohammad Reza
authors.initials: MR
authors.lastname: Noori-Daloii
authors.forename: Kourosh
authors.initials: K
authors.lastname: Holakouie-Naieni
mesh_terms: D000293:Adolescent; D000328:Adult; D001499:Bayes Theorem; D001943:Breast Neoplasms / Q000145:classification* / Q000235:genetics; D016022:Case-Control Studies; D002648:Child; D003627:Data Interpretation, Statistical; D005260:Female; D020022:Genetic Predisposition to Disease; D006801:Humans; D008962:Models, Theoretical; D017063:Outcome Assessment, Health Care; D012307:Risk Factors; D055815:Young Adult