Hierarchical polytomous regression models with applications to health services research

Statistics in Medicine

Volumn 16, Issue 20, 1997, Pages 2311-2325

  Daniels, Michael J ^a,c   Gatsonis, Constantine ^b  

^a IOWA STATE UNIVERSITY   (United States)

^b BROWN UNIVERSITY   (United States)

^c Department of Statistics Center for Statistics and Applications in Forensic Evidence Iowa State University 2438 Osborn Dr Ames   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACUTE HEART INFARCTION; ARTICLE; BAYES THEOREM; HEALTH SERVICES RESEARCH; HUMAN; MEDICARE; REGRESSION ANALYSIS; STATISTICAL MODEL; VARIANCE;

AGED; AGED, 80 AND OVER; ALGORITHMS; ANGIOPLASTY, TRANSLUMINAL, PERCUTANEOUS CORONARY; CORONARY ANGIOGRAPHY; CORONARY ARTERY BYPASS; EFFECT MODIFIERS (EPIDEMIOLOGY); FEMALE; HEALTH SERVICES RESEARCH; HUMANS; MALE; MYOCARDIAL INFARCTION; OUTCOME ASSESSMENT (HEALTH CARE); REGRESSION ANALYSIS; UNITED STATES; UTILIZATION REVIEW;

EID: 0030723605     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-0258(19971030)16:20<2311::AID-SIM654>3.0.CO;2-E     Document Type: Article

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