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Titlebook: Emerging Topics in Modeling Interval-Censored Survival Data; Jianguo Sun,Ding-Geng Chen Book 2022 The Editor(s) (if applicable) and The Au

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樓主: 大口水罐
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發(fā)表于 2025-3-30 10:59:13 | 只看該作者
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發(fā)表于 2025-3-30 15:42:21 | 只看該作者
Manufacturing Industry of Bangladesh,cur in many areas, including demographical studies, epidemiological studies, medical or public health research and social science. In contrast to the historic review of Chap. 1, this chapter will provide a brief review of some recent advances on several topics concerning the analysis of interval-cen
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發(fā)表于 2025-3-30 19:24:35 | 只看該作者
Numbers, Information and Complexitytcomes. In this chapter, our purpose is to review several methods to evaluate prediction models and to compare their performance in a context of interval censored data. This chapter provides conceptual and practical explanation of statistical methods for the time-dependent ROC and C-index as the dis
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發(fā)表于 2025-3-30 22:07:21 | 只看該作者
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發(fā)表于 2025-3-31 02:44:27 | 只看該作者
Structured Eigenvalue Perturbation Theorynal odds and accelerated failure time models. There are cases in practice that such conventional model assumptions may be inappropriate for modeling survival outcomes of interest. In this chapter, we introduce an alternative, the accelerated hazards model, for the analysis of interval-censored data
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發(fā)表于 2025-3-31 07:50:40 | 只看該作者
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