A Bayesian approach to prospective binary outcome studies with misclassification in a binary risk factor

Statistics in Medicine

Volumn 24, Issue 22, 2005, Pages 3463-3477

  Prescott, Gordon J ^a   Garthwaite, P H ^b  

^a UNIVERSITY OF ABERDEEN   (United Kingdom)

^b OPEN UNIVERSITY   (United Kingdom)

Author keywords

Binary outcome; Errors in variables; Measurement error; Misclassification; Odds ratio

Indexed keywords

ANALYTICAL ERROR; ARTICLE; BAYES THEOREM; BLOOD PRESSURE MONITORING; COVARIANCE; DECISION MAKING; ECLAMPSIA; FEMALE; HUMAN; LOGISTIC REGRESSION ANALYSIS; MATERNAL HYPERTENSION; MEASUREMENT; OUTCOMES RESEARCH; PREECLAMPSIA; PROBABILITY; PROSPECTIVE STUDY; RISK FACTOR; SENSITIVITY ANALYSIS; VALIDATION PROCESS;

BAYES THEOREM; BIOMETRY; DATA INTERPRETATION, STATISTICAL; FEMALE; HUMANS; HYPERTENSION, PREGNANCY-INDUCED; LOGISTIC MODELS; ODDS RATIO; OUTCOME ASSESSMENT (HEALTH CARE); PREGNANCY; PROSPECTIVE STUDIES; RISK FACTORS; SENSITIVITY AND SPECIFICITY;

EID: 27844538261     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.2192     Document Type: Article

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