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Regression diagnostics for the Class A regressive model with quantitative phenotypes by Hsiao-Mei Wang; Michael P. Jones; Trudy L. Burns is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

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Regression diagnostic methods are developed and investigated under the Class A regressive model proposed by Bonney [(1984) Am J Med Genet 18:731-749]. We call a family whose phenotypic distribution does not conform to the same genetic model as the majority of the families an etiotic family. The exact case-deletion approach for identifying etiotic families, based on examining the changes in each model parameter estimate by excluding one family at a time, is very time-consuming. We proposed three alternative diagnostic methods: the empirical influence function (EIF), the one-step approximation, and the approximated one-step approach. These methods can be computed efficiently and were incorporated into the existing software package S.A.G.E. A thorough Monte-Carlo investigation of the performance of the diagnostic methods was conducted and generally supports the EIF approach as the recommended alternative. The phenotypic variance is the parameter whose associated regression diagnostic most frequently and correctly identified etiotic families in the models that were examined. An analysis of body mass index data from 402 individuals in 122 Muscatine, Iowa families is used to illustrate t

Who reads Regression diagnostics for the Class A regressive model with quantitative phenotypes?

Author

Hsiao-Mei Wang; Michael P. Jones; Trudy L. Burns

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0741-0395)

Published

1999

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)