A multiple imputation approach to regression analysis for doubly censored data with application to AIDS studies

Biometrics

Volumn 57, Issue 4, 2001, Pages 1245-1250

  Pan, W ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

Author keywords

AIDS; Data augmentation; Goodness of fit test; HIV; Interval censoring; NPMLE; Proportional hazards model

Indexed keywords

HAZARDS; REGRESSION ANALYSIS;

AIDS; DATA AUGMENTATION; DOUBLY CENSORED DATUM; GOODNESS OF FIT; GOODNESS-OF-FIT TEST; HIV; INTERVAL CENSORING; MULTIPLE IMPUTATION; NPMLE; PROPORTIONAL HAZARD MODELS;

MODEL CHECKING;

ACQUIRED IMMUNE DEFICIENCY SYNDROME; BIOMETRY; HAZARD ASSESSMENT; HUMAN IMMUNODEFICIENCY VIRUS; REGRESSION ANALYSIS;

ACQUIRED IMMUNE DEFICIENCY SYNDROME; COMPUTER PROGRAM; COVARIANCE; HUMAN; MAXIMUM LIKELIHOOD METHOD; REGRESSION ANALYSIS; REVIEW; STATISTICAL ANALYSIS; STATISTICAL MODEL;

HUMAN IMMUNODEFICIENCY VIRUS;

EID: 0035184398     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2001.01245.x     Document Type: Review

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