頁籤選單縮合
題 名 | Marginal Regression Models for Recurrent and Terminal Events |
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作 者 | Ghosh,Debashis; Lin,D. Y.; | 書刊名 | Statistica Sinica |
卷 期 | 12:3 2002.07[民91.07] |
頁 次 | 頁663-688 |
分類號 | 319.51 |
關鍵詞 | Censoring; Competing risks; Counting process; Empirical process; Multiple events; Survival analysis; |
語 文 | 英文(English) |
英文摘要 | A major complication in the analysis of recurrent event data from medical studies is the presence of death. We consider the marginal mean function for the cumulative number of recurrent events over time, acknowledging the fact that death precludes further recurrences. We specify that covariates have multiplicative effects on an arbitrary baseline mean function while leaving the stochastic structure of the recurrent event process completely unspecified. We then propose estimators for the regression parameters and the baseline mean function under this semiparametric model. The asymptotic properties of these estimators are established. Joint inferences about recurrent events and death are also discussed. The finite-sample behavior of the proposed inference procedures is assessed through simulation studies. An application to a well-known bladder tumor study is provided. |
本系統中英文摘要資訊取自各篇刊載內容。