Abstract

Random coefficient (RC) models have become very popular in quantitative genetics and animal breeding over the last decade for analysing longitudinal data (Schaeffer and Dekkers, 1994). These models use polynomials in time to describe mean profiles with random coefficients to generate a correlation structure among the repeated observations on each individual. Eventually such models are characterized by three parts: the mean profile component treated as fixed, the adjusted subject profile plus a within subject component (usually the error term) treated as random (Diggle et al., 1994)

J. L Foulley, C. Robert-Granie

Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume 2002. Session 16, , 16.06, 2002
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