Missing data methods for dealing with missing items in quality of life questionnaires. A comparison by simulation of personal mean score, full information maximum likelihood, multiple imputation, and hot deck techniques applied to the SF-36 in the French 2003 decennial health survey

Quality of Life Research

Volumn 20, Issue 2, 2011, Pages 287-300

  Peyre, Hugo ^a   Leplège, Alain ^b   Coste, Joël ^a  

^a ASSISTANCE PUBLIQUE HÔPITAUX DE PARIS   (France)

^b UNIVERSITÉ PARIS DESCARTES   (France)

Author keywords

Imputation methods; Missing data; Quality of life; SF 36

Indexed keywords

ARTICLE; COMPARATIVE STUDY; EPIDEMIOLOGY; FEMALE; FRANCE; HEALTH SURVEY; HUMAN; INSTRUMENTATION; MALE; QUALITY OF LIFE; QUESTIONNAIRE; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICS;

BIAS (EPIDEMIOLOGY); DATA INTERPRETATION, STATISTICAL; FEMALE; FRANCE; HEALTH SURVEYS; HUMANS; LIKELIHOOD FUNCTIONS; MALE; QUALITY OF LIFE; QUESTIONNAIRES;

EID: 79952249827     PISSN: 09629343     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11136-010-9740-3     Document Type: Article

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