Commentary: Dealing with measurement error: Multiple imputation or regression calibration?

International Journal of Epidemiology

Volumn 35, Issue 4, 2006, Pages 1081-1082

  White, Ian R ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTIC METHOD; ANALYTICAL ERROR; CALIBRATION; COMPUTER PROGRAM; CONFIDENCE INTERVAL; DILUTION; DISEASE ASSOCIATION; EPIDEMIOLOGICAL DATA; NOTE; PREDICTION; PRIORITY JOURNAL; REGRESSION ANALYSIS; SIMULATION; VALIDATION PROCESS;

BIAS (EPIDEMIOLOGY); CONFOUNDING FACTORS (EPIDEMIOLOGY); DATA INTERPRETATION, STATISTICAL; EPIDEMIOLOGIC RESEARCH DESIGN; HUMANS; REGRESSION ANALYSIS;

EID: 33749602419     PISSN: 03005771     EISSN: 14643685     Source Type: Journal    
DOI: 10.1093/ije/dyl139     Document Type: Note

References (10)

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5. Rosner B, Willett WC, Spiegelman D. Correction of logistic regression relative risk estimates and confidence intervals for systematic within-person measurement error. Stat Med 1989;8:1051-69.
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7. Frost C, Thompson SG. Correcting for regression dilution bias: comparison of methods for a single predictor variable. J R Stat Soc A 2000;163:173-89.
8. van Buuren S, Boshuizen HC, Knook DL. Multiple imputation of missing blood pressure covariates in survival analysis. Stat Med 1999;18:681-94.
9. Phillips A, Davey Smith G. Bias in relative odds estimation due to imprecise measurement of correlated exposures. Stat Med 1992; 11:953-61.
10. Rosner B, Spiegelman D, Willett W. Correction of logistic regression relative risk estimates and confidence intervals for measurement error: the case of multiple covariates measured with error. Am J Epidemiol 1990;132:734-45.