| Autor: |
Yip BH; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobelvgen 12, Stockholm, Sweden., Björk C, Lichtenstein P, Hultman CM, Pawitan Y |
| Jazyk: |
angličtina |
| Zdroj: |
Statistics in medicine [Stat Med] 2008 Mar 30; Vol. 27 (7), pp. 1086-105. |
| DOI: |
10.1002/sim.2996 |
| Abstrakt: |
For family studies, there is now an established analytical framework for binary-trait outcomes within the generalized linear mixed models (GLMMs). However, the corresponding analysis of multivariate binary-trait (MBT) outcomes is still limited. Certain diseases, such as schizophrenia and bipolar disorder, have similarities in epidemiological features, risk factor patterns and intermediate phenotypes. To have a better etiological understanding, it is important to investigate the common genetic and environmental factors driving the comorbidity of the diseases. In this paper, we develop a suitable GLMM for MBT outcomes from extended families, such as nuclear, paternal- and maternal-halfsib families. We motivate our problem with real questions from psychiatric epidemiology and demonstrate how different substantive issues of comorbidity between two diseases can be put into the analytical framework. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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