On goodness-of-fit tests for Aalen's additive model based on left-truncated right-censored or doubly censored data |
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Authors: | Pao-Sheng Shen |
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Affiliation: | 1. Department of Statistics, Tunghai University, Taichung, Taiwanpsshen@thu.edu.tw.com |
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Abstract: | ![]() ABSTRACTGandy and Jensen (2005 Gandy, A., Jensen, U. (2005). On goodness-of-fit tests for Aalen's additive risk model. Scan. J. Stat. 32:425–445.[Crossref], [Web of Science ®] , [Google Scholar]) proposed goodness-of-fit tests for Aalen's additive risk model. In this article, we demonstrate that the approach of Gandy and Jensen (2005 Gandy, A., Jensen, U. (2005). On goodness-of-fit tests for Aalen's additive risk model. Scan. J. Stat. 32:425–445.[Crossref], [Web of Science ®] , [Google Scholar]) can be applied to left-truncated right-censored (LTRC) data and doubly censored data. A simulation study is conducted to investigate the performance of the proposed tests. The proposed tests are illustrated using heart transplant data. |
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Keywords: | Aalen's model Cox regression Goodness-of-fit Left censoring. |
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