Modeling a categorical variable allowing arbitrarily many category choices

Biometrics

Volumn 55, Issue 3, 1999, Pages 936-943

  Agresti, Alan ^a   Liu, I Ming ^b  

^a University of Florida ^*  (United States)

^b NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

Author keywords

Binary data; Chi squared test; Generalized estimating equations; Log linear model; Logit model; Marginal model; Repeated categorical responses; Surveys

Indexed keywords

DEGREES OF FREEDOM (MECHANICS); REGRESSION ANALYSIS; STATISTICAL TESTS;

BINARY COMPONENTS; BINARY DATA; CATEGORICAL VARIABLES; CHI-SQUARED TEST; GENERALIZED ESTIMATING EQUATIONS; LOGIT MODELS; LOGLINEAR MODEL; MARGINAL MODELS; PRIMARY SOURCES; REPEATED CATEGORICAL RESPONSE;

MAXIMUM LIKELIHOOD;

ARTICLE; BIOSTATISTICS; EDUCATION; HUMAN; INFORMATION; METHODOLOGY; MODEL; VETERINARY MEDICINE;

EID: 0032885958     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.1999.00936.x     Document Type: Article

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