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Model-free predictor tests in survival regression through sufficient dimension reduction

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Abstract

In this article, we test the effects of predictors in survival regression through two well-known sufficient dimension reduction methods. Since the usual sufficient dimension reduction methods do not require pre-specified models, the predictor effect tests can be considered model-free. All of the test statistics have χ 2 distributions. Numerical studies of the proposed predictor effect tests in various simulations and real data application are presented.

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Authors and Affiliations

  1. Department of Statistics, Ewha Womans University, Seoul, 120-750, Republic of Korea

    Jae Keun Yoo

  2. Biostatistics Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA, 70112, USA

    Keunbaik Lee

Authors
  1. Jae Keun Yoo
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  2. Keunbaik Lee
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Correspondence to Jae Keun Yoo.

Additional information

The two authors of Jae Keun Yoo and Keunbaik Lee contributed equally to this paper.

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Yoo, J.K., Lee, K. Model-free predictor tests in survival regression through sufficient dimension reduction. Lifetime Data Anal 17, 433–444 (2011). https://doi.org/10.1007/s10985-010-9187-4

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  • DOI: https://doi.org/10.1007/s10985-010-9187-4

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