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|標題:||A robust approach to t linear mixed models applied to multiple sclerosis data|
|期刊/報告no：:||Statistics in Medicine, Volume 25, Issue 8, Page(s) 1397-1412.|
|摘要:||We discuss a robust extension of linear mixed models based on the multivariate t distribution. Since longitudinal data are successively collected over time and typically tend to be autocorrelated, we employ a parsimonious first-order autoregressive dependence structure for the within-subject errors. A score test statistic for testing the existence of autocorrelation among the within-subject errors is derived. Moreover, we develop an explicit scoring procedure for the maximum likelihood estimation with standard errors as a by-product. The technique for predicting future responses of a subject given past measurements is also investigated. Results are illustrated with real data from a multiple sclerosis clinical trial. Copyright (c) 2005 John Wiley & Sons, Ltd.|
|Appears in Collections:||統計學研究所|
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