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B spline-based estimating equation for varying-coefficient transformation models with right censored data

Author

Listed:
  • Min Wang
  • Jianbo Li
  • Qin Zhou
  • Dongmei Zhou
  • Riquan Zhang

Abstract

This article discusses the estimating equation method for varying coefficient transformation models. The B spline technique is used to approximate the unknown functional coefficients, resulting in a parametric model. The approximated model is then given a set of estimation equations. Under some regular conditions, we demonstrate the large sample properties of the resulting estimates. Some simulation studies and a real data application are also employed to assess the performance of our proposed methodologies.

Suggested Citation

  • Min Wang & Jianbo Li & Qin Zhou & Dongmei Zhou & Riquan Zhang, 2025. "B spline-based estimating equation for varying-coefficient transformation models with right censored data," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 54(9), pages 2609-2622, May.
    • Handle: RePEc:taf:lstaxx:v:54:y:2025:i:9:p:2609-2622
    DOI: 10.1080/03610926.2024.2371501
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