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Application of the Rasch model in categorical pedigree analysis using MCEM: I binary data

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Qian G., Huggins R., Loesch D.

Discussiones Mathematicae Probability and Statistics

2004

tom 24

nr 2

255-280

An extension of the Rasch model with correlated latent variables is proposed to model correlated binary data within families. The latent variables have the classical correlation structure of Fisher (1918) and the model parameters thus have genetic interpretations. The proposed model is fitted to data using a hybrid of the Metropolis-Hastings algorithm and the MCEM modification of the EM-algorithm and is illustrated using genotype-phenotype data on a psychological subtest in families where some members are affected by the genetic disorder fragile X. In addition, hypothesis testing and model selection methods based on the Wald statistic are discussed.

Ograniczanie wyników

1 Discussiones Mathematicae Probability and Statistics

1 Huggins R.

1 Loesch D.

1 Qian G.

1 2004

Wyniki wyszukiwania

Application of the Rasch model in categorical pedigree analysis using MCEM: I binary data