Influence diagnostics for two-component Poisson mixture regression models: Applications in public health

Statistics in Medicine

Volumn 24, Issue 19, 2005, Pages 3053-3071

  Xiang, Liming ^a,b   Yau, Kelvin K W ^b   Lee, Andy H ^a   Fung, Wing K ^c  

^a CURTIN UNIVERSITY   (Australia)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^c UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Count data; Diagnostics; Heterogeneity; Local influence; Poisson mixture regression; Random effects

Indexed keywords

ALGORITHM; ARTICLE; BIOSTATISTICS; CLUSTER ANALYSIS; DATA ANALYSIS; DIAGNOSTIC ACCURACY; EMPIRICAL RESEARCH; HUMAN; LENGTH OF STAY; POISSON DISTRIBUTION; PREGNANCY; PUBLIC HEALTH SERVICE; RECURRENT INFECTION; REGRESSION ANALYSIS; STATISTICAL MODEL; STATISTICAL PARAMETERS; URINARY TRACT INFECTION;

CLUSTER ANALYSIS; COHORT STUDIES; DATA INTERPRETATION, STATISTICAL; DELIVERY, OBSTETRIC; FEMALE; HEALTH SERVICES; HUMANS; LENGTH OF STAY; POISSON DISTRIBUTION; PREGNANCY; PUBLIC HEALTH; REGRESSION ANALYSIS; RETROSPECTIVE STUDIES; URINARY TRACT INFECTIONS; WESTERN AUSTRALIA;

EID: 26444524022     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.2160     Document Type: Article

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