A likelihood approach to estimating sensitivity and specificity for binocular data: Application in ophthalmology

Statistics in Medicine

Volumn 26, Issue 17, 2007, Pages 3300-3314

  De Leon, A R ^a   Guo, M ^a   Rudnisky, C J ^b   Singh, G ^c  

^a UNIVERSITY OF CALGARY   (Canada)

^b UNIVERSITY OF ALBERTA   (Canada)

^c Leong and Associates Actuaries and Consultants Inc   (Canada)

Author keywords

Correlated binary data; Coverage probability; Generalized linear mixed model; Maximum likelihood estimation; Random effects model

Indexed keywords

ARTICLE; BINOCULAR VISION; CORRELATION ANALYSIS; DATA ANALYSIS; DIABETIC RETINOPATHY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST; HEALTH STATISTICS; HUMAN; MAJOR CLINICAL STUDY; MAXIMUM LIKELIHOOD METHOD; METHODOLOGY; OBSERVER VARIATION; OPHTHALMOLOGY; SENSITIVITY AND SPECIFICITY; SIMULATION; STATISTICAL ANALYSIS; STATISTICAL MODEL;

CANADA; DATA INTERPRETATION, STATISTICAL; HUMANS; LIKELIHOOD FUNCTIONS; OPHTHALMOLOGY; SENSITIVITY AND SPECIFICITY; VISION, BINOCULAR;

EID: 34447291600     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2791     Document Type: Article

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