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Computer Methods and Programs in Biomedicine

Volumn 68, Issue 3, 2002, Pages 195-203

A zero-inflated Poisson mixed model to analyze diagnosis related groups with majority of same-day hospital stays

(3) Wang, K a,b Yau, Kelvin K W b Lee, Andy H a

a CURTIN UNIVERSITY (Australia)

b CITY UNIVERSITY OF HONG KONG (Hong Kong)

Author keywords

Diagnosis related groups; EM algorithm; Length of stay; Random effects; S Plus macro; Same day separations

Indexed keywords

ALGORITHMS; HOSPITALS; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; POISSON DISTRIBUTION;

POISSON MIXED MODELS;

DIAGNOSIS;

ALGORITHM; ARTICLE; CONTROLLED STUDY; EXPERIMENTAL MODEL; HOSPITALIZATION; HUMAN; MATHEMATICAL MODEL; URETHRA STRICTURE;

ALGORITHMS; COMPUTER SIMULATION; DIAGNOSIS-RELATED GROUPS; HOSPITALS; HUMANS; MODELS, STATISTICAL; POISSON DISTRIBUTION; REGRESSION ANALYSIS; TIME FACTORS;

EID: 0036284459 PISSN: 01692607 EISSN: None Source Type: Journal
DOI: 10.1016/S0169-2607(01)00171-7 Document Type: Article

Times cited : (47)

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