Testing the proportional odds model for interval-censored data |
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| Authors: | Jianguo Sun Liuquan Sun Chao Zhu |
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| Institution: | (1) Department of Statistics, University of Missouri, 146 Middlebush Hall, Columbia, MO 65211, USA;(2) Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100080, P.R. China |
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| Abstract: | This paper discusses the goodness-of-fit test for the proportional odds model for K-sample interval-censored failure time data, which frequently occur in, for example, periodic follow-up survival studies.
The proportional odds model has a feature that allows the ratio of two hazard functions to be monotonic and converge to one
and provides an important tool for the modeling of survival data. To test the model, a procedure is proposed, which is a generalization
of the method given in Dauxois and Kirmani Dauxois JY, Kirmani SNUA (2003) Biometrika 90:913–922]. The asymptotic distribution
of the procedure is established and its properties are evaluated by simulation studies |
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| Keywords: | Asymptotic normality Bootstrapping Goodness-of-fit test Interval-censoring |
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