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A note on the empirical likelihood confidence band for hazards ratio with covariate adjustment

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  • Shihong Zhu
  • Yifan Yang
  • Mai Zhou

Abstract

In medical studies comparing two treatments in the presence of censored data, the stratified Cox model is an important tool that has the ability to flexibly handle non‐proportional hazards while allowing parsimonious covariate adjustment. In order to capture the cumulative treatment effect, the ratio of the treatment specific cumulative baseline hazards is often used as a measure of the treatment effect. Pointwise and simultaneous confidence bands associated with the estimated ratio provide a global picture of how the treatment effect evolves over time. Recently, Dong and Matthews (2012, Biometrics 68, 408–418) proposed to construct a pointwise confidence interval for the ratio using a plug‐in type empirical likelihood approach. However, their result on the limiting distribution of the empirical likelihood ratio is generally incorrect and the resulting confidence interval is asymptotically undercovering. In this article, we derive the correct limiting distribution for the likelihood ratio statistic. We also present simulation studies to demonstrate the effectiveness of our approach.

Suggested Citation

  • Shihong Zhu & Yifan Yang & Mai Zhou, 2015. "A note on the empirical likelihood confidence band for hazards ratio with covariate adjustment," Biometrics, The International Biometric Society, vol. 71(3), pages 859-563, September.
    • Handle: RePEc:bla:biomet:v:71:y:2015:i:3:p:859-563:1
    DOI: 10.1111/biom.12311
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    References listed on IDEAS

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    1. Shen, Junshan & He, Shuyuan, 2006. "Empirical likelihood for the difference of two survival functions under right censorship," Statistics & Probability Letters, Elsevier, vol. 76(2), pages 169-181, January.
    2. Zhao, Yichuan & Zhao, Meng, 2011. "Empirical likelihood for the contrast of two hazard functions with right censoring," Statistics & Probability Letters, Elsevier, vol. 81(3), pages 392-401, March.
    3. Einmahl, J.H.J. & McKeague, I.W., 1999. "Confidence tubes for multiple quantile plots via empirical likelihood," Other publications TiSEM b64493f8-1c01-40fd-b16d-7, Tilburg University, School of Economics and Management.
    4. Bin Dong & David E. Matthews, 2012. "Empirical Likelihood for Cumulative Hazard Ratio Estimation with Covariate Adjustment," Biometrics, The International Biometric Society, vol. 68(2), pages 408-418, June.
    5. McKeague, Ian W. & Zhao, Yichuan, 2002. "Simultaneous confidence bands for ratios of survival functions via empirical likelihood," Statistics & Probability Letters, Elsevier, vol. 60(4), pages 405-415, December.
    6. Guanghui Wei & Douglas E. Schaubel, 2008. "Estimating Cumulative Treatment Effects in the Presence of Nonproportional Hazards," Biometrics, The International Biometric Society, vol. 64(3), pages 724-732, September.
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    Cited by:

    1. Bin Dong & David Matthews, 2015. "Rejoinder to “A note on the empirical likelihood confidence band for hazards ratio with covariate adjustment”," Biometrics, The International Biometric Society, vol. 71(3), pages 859-563, September.

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