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Some properties of misspecified additive hazards models

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  • Hattori, Satoshi

Abstract

Lin and Ying [1994. Semiparametric analysis of the additive risk model. Biometrika 81, 61-71] proposed a simple inference procedure for the additive hazards model. In this article, it is shown that their estimator provides valid treatment comparison in randomized clinical trials even if misspecified and is consistent even if independent covariates are mismodeled.

Suggested Citation

  • Hattori, Satoshi, 2006. "Some properties of misspecified additive hazards models," Statistics & Probability Letters, Elsevier, vol. 76(15), pages 1641-1646, September.
    • Handle: RePEc:eee:stapro:v:76:y:2006:i:15:p:1641-1646
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    References listed on IDEAS

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    1. A. G. DiRienzo & S. W. Lagakos, 2001. "Effects of model misspecification on tests of no randomized treatment effect arising from Cox’s proportional hazards model," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(4), pages 745-757.
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    1. Hattori, Satoshi, 2012. "Testing the no-treatment effect based on a possibly misspecified accelerated failure time model," Statistics & Probability Letters, Elsevier, vol. 82(2), pages 371-377.
    2. Ying Yan & Grace Y. Yi, 2016. "A Class of Functional Methods for Error-Contaminated Survival Data Under Additive Hazards Models with Replicate Measurements," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(514), pages 684-695, April.

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