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| 題 名 | A Dynamic Quantile Regression Transformation Model for Longitudinal Data |
|---|---|
| 作 者 | Mu, Yunming; Wei, Ying; | 書刊名 | Statistica Sinica |
| 卷 期 | 19:3 2009.07[民98.07] |
| 頁 次 | 頁1137-1153 |
| 分類號 | 319.22 |
| 關鍵詞 | Longitudinal data; Power transformation; Quantile regression; Varying-coefficient models; |
| 語 文 | 英文(English) |
| 英文摘要 | Abstract: This paper describes a flexible nonparametric quantile regression model for longitudinal data. The basic elements of the model consist of a time-dependent power transformation on the longitudinal dependent variable and a varying-coefficient model for conditional quantiles. A two-step estimation procedure is proposed to fit the model, and its consistency is established. Tuning parameters are chosen with generalized cross validation in conjunction with a Schwarz-type information criterion. The proposed method is illustrated by data on the time evolution of CD4 cell counts in HIV-1 infected patients under three different treatments. The quantile regression approach for longitudinal data enables construction of a pointwise prediction band for CD4 cell counts trajectories without requiring parametric distributional assumptions |
本系統中英文摘要資訊取自各篇刊載內容。