Statistical analysis with missing exposure data measured by proxy respondents: A misclassification problem within a missing-data problem

Statistics in Medicine

Volumn 33, Issue 25, 2014, Pages 4437-4452

  Shardell, Michelle ^a   Hicks, Gregory E ^b  

^a UNIVERSITY OF MARYLAND SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF DELAWARE   (United States)

Author keywords

Exposure misclassification; Gerontology; Missing data; Proxy respondents

Indexed keywords

ACCURACY; ARTICLE; CALCULATION; GOLD STANDARD; HIP FRACTURE; HUMAN; MACHINE LEARNING; MATHEMATICAL ANALYSIS; NONPARAMETRIC TEST; PROBABILITY; RELIABILITY; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; SIMULATION; STATISTICAL ANALYSIS; AGED; COMPUTER SIMULATION; FEMALE; MALE; PATHOPHYSIOLOGY; PHYSIOLOGY; PROPENSITY SCORE; REGRESSION ANALYSIS; STATISTICAL MODEL; UNITED STATES; VERY ELDERLY; WALKING;

AGED; AGED, 80 AND OVER; BALTIMORE; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; FEMALE; HIP FRACTURES; HUMANS; MALE; MODELS, STATISTICAL; PROPENSITY SCORE; REGRESSION ANALYSIS; WALKING;

EID: 84927567840     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.6238     Document Type: Article

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