Modelling the association between patient characteristics and the change over time in a disease measure using observational cohort data

Statistics in Medicine

Volumn 28, Issue 26, 2009, Pages 3260-3275

  Harrison, L ^a   Dunn, D T ^a   Green, H ^a   Copas, A J ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Longitudinal data; Measurement error; Observational studies; Random effects models; Repeated measurements

Indexed keywords

ARTICLE; CD4 LYMPHOCYTE COUNT; COHORT ANALYSIS; COVARIANCE; HIGHLY ACTIVE ANTIRETROVIRAL THERAPY; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS 1; IMMUNE RESPONSE; INTERMETHOD COMPARISON; LONGITUDINAL STUDY; MEASUREMENT ERROR; OBSERVATIONAL STUDY; REGRESSION ANALYSIS; SIMULATION; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICAL SIGNIFICANCE; THERAPY RESISTANCE;

ANTIRETROVIRAL THERAPY, HIGHLY ACTIVE; BIOSTATISTICS; CD4 LYMPHOCYTE COUNT; COHORT STUDIES; HIV INFECTIONS; HIV-1; HUMANS; LONGITUDINAL STUDIES; MODELS, STATISTICAL; OUTCOME ASSESSMENT (HEALTH CARE); REGRESSION ANALYSIS;

EID: 70449413911     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3725     Document Type: Article

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