Do the methods used to analyse missing data really matter? An examination of data from an observational study of Intermediate Care patients

BMC Research Notes

Volumn 5, Issue , 2012, Pages

  Kaambwa, Billingsley ^a   Bryan, Stirling ^b   Billingham, Lucinda ^a  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Complete case analysis; Generalised linear model; Heckman selection; Missing data; Multiple imputation; Observational data

Indexed keywords

ARTICLE; COMPARATIVE STUDY; ECONOMICS; FEMALE; HEALTH CARE COST; HEALTH SERVICE; HEALTH SERVICES RESEARCH; HOSPITAL ADMISSION; HOSPITAL DISCHARGE; HUMAN; INFORMATION PROCESSING; LENGTH OF STAY; MALE; NURSING HOME; REGRESSION ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICS; UNITED KINGDOM;

DATA COLLECTION; DATA INTERPRETATION, STATISTICAL; FEMALE; GREAT BRITAIN; HEALTH CARE COSTS; HEALTH SERVICES; HEALTH SERVICES RESEARCH; HUMANS; INTERMEDIATE CARE FACILITIES; LEAST-SQUARES ANALYSIS; LENGTH OF STAY; LINEAR MODELS; MALE; MODELS, ECONOMIC; MODELS, STATISTICAL; PATIENT ADMISSION; PATIENT DISCHARGE;

EID: 84862748393     PISSN: None     EISSN: 17560500     Source Type: Journal    
DOI: 10.1186/1756-0500-5-330     Document Type: Article

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