Joan E Bailey‐Wilson, National Institutes of Health, Baltimore, Maryland, USA
Published online: January 2006
DOI: 10.1038/npg.els.0005403
Parametric or model-based linkage analysis assumes that models describing both the trait and marker loci are known without error. Nonparametric, model-free or weakly parametric linkage methods make fewer assumptions about the trait model.
Keywords: power; type 1 error; heterogeneity; model-based; bias
| References | |
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| Further Reading | |
| Olson JM, Witte JS and Elston RC (1999) Tutorial in biostatistics: genetic mapping of complex traits. Statistics in Medicine 18: 2961–2981. | |
| book Ott J (1991) Analysis of Human Genetic Linkage. Baltimore, MD: Johns Hopkins University Press. | |
| Whittemore AS (1996) Genome scanning for linkage: an overview. American Journal of Human Genetics 59: 704–716. | |
| Liang K-Y and Self SG (1996) On the asymptotic behaviour of the pseudolikelihood ratio test statistic. Journal of the Royal Statistical Society 58 (Series B (Methodological)): 785–796. | |
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