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- W2172179643 abstract "The treatment and analysis of longitudinal data may be encountered in many research areas. In longitudinal data analysis, often encountered with a situation of time-varying covariances. It is difficult to deal with the longitudinal data with time-varying covariances by using a traditional variance analysis method. In this paper, we explore methodologically that how the linear mixed effects model can be applied to analyze such data. We have also designed the SAS programs for the linear mixed effects model fitting." @default.
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- W2172179643 date "2011-01-01" @default.
- W2172179643 modified "2023-09-26" @default.
- W2172179643 title "Algorithms for Time-Varying Covariances in Longitudinal Data" @default.
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- W2172179643 doi "https://doi.org/10.1007/978-3-642-25194-8_23" @default.
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