Model selection for incomplete and design-based samples

Statistics in Medicine

Volumn 25, Issue 14, 2006, Pages 2502-2520

  Hens, Niel ^a   Aerts, M ^a   Molenberghs, G ^a  

^a HASSELT UNIVERSITY   (Belgium)

Author keywords

Akaike information criterion; Complex designs; Missing data; Model selection; Weighted likelihood

Indexed keywords

ADULT; AGE DISTRIBUTION; ARTICLE; BELGIUM; CANCER PREVENTION; CANCER SCREENING; CONTROLLED STUDY; COVARIANCE; DATA ANALYSIS; DATA COLLECTION METHOD; FEMALE; HEALTH SURVEY; HIGH RISK POPULATION; HUMAN; INTERVIEW; MAJOR CLINICAL STUDY; MEDICAL RESEARCH; NONPARAMETRIC TEST; NORMAL DISTRIBUTION; PROBABILITY; RISK ASSESSMENT; RISK FACTOR; SAMPLE SIZE; SAMPLING; SIMULATION; STATISTICAL MODEL; UTERINE CERVIX CANCER;

ADULT; BELGIUM; COMPUTER SIMULATION; DECISION SUPPORT TECHNIQUES; FEMALE; HUMANS; LIKELIHOOD FUNCTIONS; MASS SCREENING; MIDDLE AGED; REGRESSION ANALYSIS; RESEARCH DESIGN; UTERINE CERVICAL NEOPLASMS; VAGINAL SMEARS;

EID: 33745947404     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2559     Document Type: Article

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