Random effects models for assessing diagnostic accuracy of traditional Chinese doctors in absence of a gold standard

Statistics in Medicine

Volumn 31, Issue 7, 2012, Pages 661-671

  Wang, Zheyu ^a   Zhou, Xiao Hua ^a,b  

^a UNIVERSITY OF WASHINGTON   (United States)

^b VA PUGET SOUND HEALTH CARE SYSTEM   (United States)

Author keywords

Diagnostic test; EM algorithm; Random effects models; Repeated ordinal data; Traditional Chinese medicine (TCM)

Indexed keywords

AREA UNDER THE CURVE; ARTICLE; CHI SQUARE TEST; CHILL; CHINESE MEDICINE; CLINICAL ASSESSMENT; CLINICAL COMPETENCE; CLINICAL FEATURE; CLINICAL PRACTICE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; DISEASE SEVERITY; FALSE POSITIVE RESULT; GOLD STANDARD; HUMAN; KERNEL METHOD; LEARNING ALGORITHM; MAXIMUM LIKELIHOOD METHOD; PHYSICIAN ATTITUDE; RECEIVER OPERATING CHARACTERISTIC; STATISTICAL MODEL; VALIDATION PROCESS;

CLINICAL COMPETENCE; DIAGNOSIS, DIFFERENTIAL; DIAGNOSTIC ERRORS; HUMANS; MEDICINE, CHINESE TRADITIONAL; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PHYSICIANS; RAYNAUD DISEASE; ROC CURVE;

EID: 84858007332     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.4275     Document Type: Article

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