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Multivariate Logit Analysis of Concordance Ratios for Qualitative Traits in Twin Studies

Published online by Cambridge University Press:  01 August 2014

Jaakko Kaprio ,
Seppo Sarna  and
Markku Koskenvuo
Jaakko Kaprio*
Affiliation:
Department of Public Health Science, University of Helsinki
Seppo Sarna
Affiliation:
Department of Public Health Science, University of Helsinki
Markku Koskenvuo
Affiliation:
Department of Public Health Science, University of Helsinki
*
Department of Public Health Science, Haartmaninkatu 3, SF-00290 Helsinki 29, Finland

Abstract

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The application of multiway contingency table analysis to the multivariate analysis of concordance ratios in twin studies is developed. The approach is illustrated by data on smoking and alcohol use in Finland and Sweden. This approach can enable the assessment of the effect of other variables on the concordance ratio and thus allow estimates of genetic effects on the trait under study. Hypotheses on relationships between genetic effects and other variables can be tested. After hypothesis testing, model fitting of the best hypothesis can be carried out.

Keywords

Twin concordanceContingency tablesMultivariate analysisSmokingAlcohol
Type
Research Article
Information
Acta geneticae medicae et gemellologiae: twin research , Volume 30 , Issue 4 , October 1981 , pp. 267 - 274
Copyright
Copyright © The International Society for Twin Studies 1981

References

REFERENCES

1. Aitkin, MA (1978): The analysis of unbalanced cross classifications (with discussion). J Roy Stat Soc A 141.Google Scholar
2. Allen, G, Hrubec, Z (1979): Twin concordance: A more general model. Acta Genet Med Gemellol 28:3–13.Google ScholarPubMed
3. Andersen, AH (1974): Multidimensional contingency table. Scand J Stat 1:115–127.Google Scholar
4. Andersen, EB (1980): Discrete statistical models with social science applications. Amsterdam: North-Holland Publishing Co.Google Scholar
5. Baker, RT, Neider, JA (1978): “The GLIM System Release 3 Manual.” Oxford: Numerical Algorithms Group.Google Scholar
6. Benedetti, JK, Brown, MB (1978): Strategies for the selection of log-linear models. Biometrics 34:680–686.CrossRefGoogle ScholarPubMed
7. Birch, MW (1963): Maximum likelihood in three-way contingency tables. J Royal Stat Soc B25:220–233.Google Scholar
8. Cederlöf, R, Friberg, L, Lundman, T (1977): The interactions of smoking, environment, and heredity and their implications for disease etiology. Acta Med Scand Suppl XXX:612.Google Scholar
9. Freeman, DH, Jekel, JF (1980): Table selection and log-linear models. J Chronic Dis 33:513–524.CrossRefGoogle ScholarPubMed
10. Goodman, LA (1970): The multivariate analysis of qualitative data: Interactions among multiple classifications. J Am Stat Assoc 65:226–255.CrossRefGoogle Scholar
11. Goodman, LA (1971): The analysis of multidimensional contingency tables: Stepwise procedures and direct estimation methods for building models for multiple classifications. Technometrics 13:33–61.CrossRefGoogle Scholar
12. Haberman, SJ (1972): Log-linear fit for contingency tables: Statistical Algorithm. Appl Stat 21:218–225.CrossRefGoogle Scholar
13. Haberman, SJ (1973): Printing multidimensional tables statistical algorithm. Appl Stat 22:118–126.CrossRefGoogle Scholar
14. Haberman, SJ (1974): The Analysis of Frequency Data. Chicago: The University of Chicago Press.Google Scholar
15. Kaprio, J, Hammar, N, Koskenvuo, M, Floderus-Myrhed, B, Langinvainio, H, Sarna, S (1981): Cigarette smoking and alcohol use in Finland and Sweden: A cross-national twin study (submitted for publication).CrossRefGoogle Scholar
16. Kastenbaum, MA, Lamphiear, DE (1959): Calculation of chi-square to test the no three-factor interaction hypothesis. Biometrics 15:107–115.CrossRefGoogle Scholar
17. Neider, J, Wedderbura, RWN (1972): Generalised linear models. J Roy Stat Soc A 135:370–384.Google Scholar
18. Smith, C (1974): Concordance in twins: Methods and interpretation. Am J Hum Genet 26:454–466.Google ScholarPubMed