A multiple imputation method for missing covariates in non-linear mixed-effects models with application to HIV dynamics

Statistics in Medicine

Volumn 20, Issue 12, 2001, Pages 1755-1769

  Wu, Hulin ^a   Wu, Lang ^b  

^a FRONTIER SCIENCE AND TECHNOLOGY RESEARCH FOUNDATION   (United States)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIVIRUS AGENT; LAMIVUDINE; PROTEINASE INHIBITOR; RNA DIRECTED DNA POLYMERASE INHIBITOR; VIRUS RNA; ZIDOVUDINE;

ACQUIRED IMMUNE DEFICIENCY SYNDROME; ANALYTICAL ERROR; ARTICLE; CLINICAL TRIAL; CONSTANTS AND COEFFICIENTS; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DRUG HYPERSENSITIVITY; DRUG POTENCY; DRUG WITHDRAWAL; DYNAMICS; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS 1; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; NONHUMAN; NONLINEAR SYSTEM; PARAMETER; RELIABILITY; SIMULATION; STATISTICAL MODEL; VIRUS LOAD;

ANTIRETROVIRAL THERAPY, HIGHLY ACTIVE; CLINICAL TRIALS; COMPUTER SIMULATION; HIV INFECTIONS; HIV-1; HUMANS; MODELS, BIOLOGICAL; MULTIVARIATE ANALYSIS; NONLINEAR DYNAMICS; RNA, VIRAL; VIRAL LOAD;

EID: 0035973236     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.816     Document Type: Article

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