Mixed-effects variance components models for biometric family analyses.

@article{Mcardle2005MixedeffectsVC,
  title={Mixed-effects variance components models for biometric family analyses.},
  author={J J Mcardle and Carol A Prescott},
  journal={Behavior genetics},
  year={2005},
  volume={35 5},
  pages={631-52}
}
Recent substantive research on biometric analyses of twin and family data has used both a biometric path analysis model (PAM) and a biometric variance components model (VCM). Methodological research on these same topics have suggested benefits of using linear structural equation model algorithms (SEMA) as well as mixed effect multilevel algorithms (MEMA). To better understand the potential similarities and differences among these approaches we first highlight the algebraic equivalence between… CONTINUE READING

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