A moving blocks empirical likelihood method for longitudinal data

• Published in: Biometrics Vol. 71; no. 3; pp. 616 - 624
• Main Authors: Qiu, Jin, Wu, Lang
• Format: Journal Article
• Language: English
• Published: United States Blackwell Publishing Ltd 01.09.2015; International Biometric Society
• Subjects: Algorithms; Antiviral Agents - therapeutic use; autocorrelation; BIOMETRIC METHODOLOGY; biometry; Computer Simulation; Data Interpretation, Statistical; Econometrics; Economic models; Empirical likelihood; equations; Estimating techniques; General estimating equation; HIV Infections - diagnosis; HIV Infections - drug therapy; HIV Infections - epidemiology; Humans; Likelihood Functions; Longitudinal data; Longitudinal Studies; Nonparametric method; Outcome Assessment (Health Care) - methods; Prevalence; Reproducibility of Results; Risk Assessment - methods; Sensitivity and Specificity; Serial correlation; Treatment Outcome; Nonparametric method; Empirical likelihood; Serial correlation; General estimating equation; Longitudinal data

In the analysis of longitudinal or panel data, neglecting the serial correlations among the repeated measurements within subjects may lead to inefficient inference. In particular, when the number of repeated measurements is large, it may be desirable to model the serial correlations more generally....