A simulation-based comparison of techniques to correct for measurement error in matched case-control studies

Statistics in Medicine

Volumn 27, Issue 19, 2008, Pages 3755-3775

  Guolo, A ^a   Brazzale, A R ^b  

^a UNIVERSITY OF PADOVA   (Italy)

^b UNIVERSITY OF MODENA AND REGGIO EMILIA   (Italy)

Author keywords

Conditional logistic regression; ELF MF; Likelihood; Matched case control data; Measurement error

Indexed keywords

ACCURACY; ALGORITHM; ANALYTIC METHOD; ANALYTICAL ERROR; ARTICLE; BOOTSTRAPPING; CALIBRATION; CASE CONTROL STUDY; CHILDHOOD CANCER; CONFIDENCE INTERVAL; CONTROLLED STUDY; ELECTROMAGNETIC FIELD; EMPIRICAL RESEARCH; ENVIRONMENTAL EXPOSURE; EPIDEMIOLOGICAL DATA; HUMAN; INTERMETHOD COMPARISON; INTERNAL VALIDITY; ITALY; LOGISTIC REGRESSION ANALYSIS; MATHEMATICAL COMPUTING; MAXIMUM LIKELIHOOD METHOD; MEASUREMENT; NORMAL DISTRIBUTION; SAMPLE SIZE; SENSITIVITY ANALYSIS; SIMULATION;

BIAS (EPIDEMIOLOGY); BIOMETRY; CALIBRATION; CASE-CONTROL STUDIES; CHILD; CHILD, PRESCHOOL; COMPUTER SIMULATION; DOSE-RESPONSE RELATIONSHIP, RADIATION; ELECTROMAGNETIC FIELDS; ENVIRONMENTAL EXPOSURE; EPIDEMIOLOGIC RESEARCH DESIGN; HUMANS; INFANT; INFANT, NEWBORN; LIKELIHOOD FUNCTIONS; LOGISTIC MODELS; NEOPLASMS;

EID: 50449108196     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3282     Document Type: Article

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