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Cited by 297

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Multiple Regression Analysis of Twin Data: Etiology of Deviant Scores versus Individual Differences

Open access
DeFries, J.C., Fulker, D.W.·1988·Acta geneticae medicae et gemellologiae: twin research

Abstract

The multiple regression analysis of twin data in which a cotwin's score is predicted from a proband's score and the coefficient of relationship (the basic model) provides a statistically powerful test of genetic etiology. When an augmented model that also contains an interaction term is fitted to the same data set, direct estimates of heritability (h2) and the proportion of variance due to shared environmental influences (c2) are obtained. A simple transformation of selected twin data prior to regression analysis facilitates direct estimates of h2g (an index of the extent to which the difference between the mean of probands and that of the unselected population is heritable) and a test of the hypothesis that the etiology of deviant scores differs from that of variation within the normal range.

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Metadata

Authors
DeFries, J. C., & Fulker, D. W.
Venue
Acta geneticae medicae et gemellologiae: twin research
Published
1988-10
Volume
37
Issue
3-4
Pages
205-216
ISSN
  • 0001-5660 (ISSN-L)
  • 2059-6324
OpenAlex
W6786390
Cited by
297
References
8
FWCI
4.42
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Multiple Regression Analysis of Twin Data: Etiology of Deviant Scores versus Individual Differences. https://app.cochat.ai/papers/10.1017/s0001566000003810
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DeFries, J. C., & Fulker, D. W. (1988). Multiple Regression Analysis of Twin Data: Etiology of Deviant Scores versus Individual Differences. Acta geneticae medicae et gemellologiae: twin research. https://doi.org/10.1017/s0001566000003810

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.