Does it always help to adjust for misclassification of a binary outcome in logistics regression?

Statistics in Medicine

Volumn 24, Issue 14, 2005, Pages 2221-2234

  Luan, Xianqun ^a   Pan, Wei ^b   Gerberich, Susan G ^b   Carlin, Bradley P ^b  

^a CHILDREN S HOSPITAL OF PHILADELPHIA   (United States)

^b UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Bias; Logistic models; Mean squared error; Measurement error; Sensitivity and specificity; Simulation

Indexed keywords

ADOLESCENT; ADULT; AGRICULTURAL PROCEDURES; ANALYTICAL ERROR; ARTICLE; CHILD; CLASSIFICATION; CONTROLLED STUDY; DATA ANALYSIS; FEMALE; HUMAN; INFANT; INTERVIEW; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL ANALYSIS; MEDICAL RECORD; OCCUPATIONAL DISEASE; OUTCOMES RESEARCH; RISK FACTOR; SENSITIVITY AND SPECIFICITY; SIMULATION; TELEPHONE; UNITED STATES; VARIANCE; WORK SCHEDULE;

ACCIDENTS, OCCUPATIONAL; ADOLESCENT; ADULT; AGRICULTURE; BIAS (EPIDEMIOLOGY); CHILD; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; FEMALE; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; MINNESOTA; SAMPLE SIZE;

EID: 21844448883     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.2094     Document Type: Article

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