Survival, Endurance and Censored Observations in Animal Breeding

  • S. P. Smith
Part of the Advanced Series in Agricultural Sciences book series (AGRICULTURAL, volume 18)


Longevity and other survival measures are important traits and these are usually subjected to censoring. Methods in failure time analysis, useful for the censored data encountered in animal breeding, are described. The value of the Cox model and of other rank regression models is highlighted. These methods incorporate an unknown transformation in the model, solving the scale problems frequently confronted in genetic analysis. Bayesian approaches allow models to accommodate random factors such as additive genetic values. Effects are estimated by solving, perhaps several times, a linear system of equations that resembles Henderson’s mixed model equations. Proposed numerical techniques are tested on an actual data set.


Failure Time Marginal Likelihood Animal Breeding Survival Measure Best Linear Unbiased Prediction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1990

Authors and Affiliations

  • S. P. Smith
    • 1
  1. 1.Animal Genetics and Breeding UnitUniversity of New EnglandArmidaleAustralia

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