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The estimation for the general additive–multiplicative hazard model using the length-biased survival data

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Abstract

We use the general additive–multiplicative hazard model to analyze the length biased data with right censorship and use the estimating equation method that incorporates the information about length-biased sampling scheme to do the inference. In addition, some graphical and numerical methods are developed for assessing the adequacy of the general additive–multiplicative hazard model. The procedures are derived from cumulative sums of martingale-based residuals over follow-up time and covariate values. The simulations are conducted to insure the good performance of this method. An application to the Oscar data is also illustrated.

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Acknowledgements

The authors thank the Editor, an Associate Editor and the anonymous reviewers for their constructive suggestions, which have helped greatly improve our paper. Zhou’s work is supported by the State Key Program in the Major Research Plan of National Natural Science Foundation of China (91546202), the State Key Program of National Natural Science Foundation of China (71331006). Li’s research is partly supported by the National Natural Science Foundation of China Grants (NO. 11601307).

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Authors and Affiliations

  1. School of Statistics, Dongbei University of Finance and Economics, Dalian, China

    Chengbo Li

  2. Key Laboratory of Advanced Theory and Application in Statistics and Data Science, Ministry of Education, Shanghai, China

    Yong Zhou

  3. Institute of Statistics and Interdisciplinary Sciences and School of Statistics, East China Normal University, 200241, Shanghai, China

    Yong Zhou

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  1. Chengbo Li
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  2. Yong Zhou
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Correspondence to Chengbo Li.

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Li, C., Zhou, Y. The estimation for the general additive–multiplicative hazard model using the length-biased survival data. Stat Papers 62, 53–74 (2021). https://doi.org/10.1007/s00362-018-01079-3

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