Extending McNemar's test: Estimation and inference when paired binary outcome data are misclassified

Biometrics

Volumn 61, Issue 1, 2005, Pages 287-294

  Lyles, Robert H ^a   Williamson, John M ^b   Lin, Hung Mo ^c   Heilig, Charles M ^b  

^a EMORY UNIVERSITY   (United States)

^b CENTERS FOR DISEASE CONTROL AND PREVENTION   (United States)

^c PENN STATE COLLEGE OF MEDICINE   (United States)

Author keywords

Design efficiency; Paired data odds ratio; Repeated measures; Validation

Indexed keywords

DESIGN EFFICIENCY; DIAGNOSTIC TESTS; GOLD STANDARDS; MCNEMAR'S TESTS; ODD RATIOS; PAIRED-DATA ODD RATIO; REPEATED MEASURES; STUDY DESIGN; VALIDATION; VALIDATION DATA;

EFFICIENCY;

FEASIBILITY STUDY;

COST BENEFIT ANALYSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC ERROR; DIAGNOSTIC PROCEDURE; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MCNEMAR TEST; OBSERVATION; REVIEW; RISK FACTOR; SIMULATION; STANDARD; STATISTICAL ANALYSIS; STATISTICAL MODEL; VAGINITIS; VALIDATION PROCESS;

BACTERIA (MICROORGANISMS);

EID: 15044356042     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2005.040135.x     Document Type: Review

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