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A note on the length-biased Weibull-Gamma frailty survival model

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  • Giussani, A.
  • Bonetti, M.

Abstract

Univariate length-biased survival data has been extensively treated in the statistical literature, and its importance has been shown under cross-sectional sampling of prevalent cases. In this article, we discuss frailty length-biased data models, and derive some specific quantities and relationships.

Suggested Citation

  • Giussani, A. & Bonetti, M., 2019. "A note on the length-biased Weibull-Gamma frailty survival model," Statistics & Probability Letters, Elsevier, vol. 153(C), pages 32-36.
    • Handle: RePEc:eee:stapro:v:153:y:2019:i:c:p:32-36
    DOI: 10.1016/j.spl.2019.05.009
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    References listed on IDEAS

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    1. Nitis Mukhopadhyay & Mun S. Son, 2016. "Stirling’s Formula for Gamma Functions, Bounds for Ratios of Gamma Functions, Beta Functions and Percentiles of a Studentized Sample Mean: A Synthesis with New Results," Methodology and Computing in Applied Probability, Springer, vol. 18(4), pages 1117-1127, December.
    2. James Vaupel & Kenneth Manton & Eric Stallard, 1979. "The impact of heterogeneity in individual frailty on the dynamics of mortality," Demography, Springer;Population Association of America (PAA), vol. 16(3), pages 439-454, August.
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