Access the full text.
Sign up today, get DeepDyve free for 14 days.
T. Hutchinson (1993)
The Seventh-Root Formula for a Trivariate Normal ProbabilityThe American Statistician, 47
J. Blum, J. Kiefer, M. Rosenblatt (1961)
DISTRIBUTION FREE TESTS OF INDEPENDENCE BASED ON THE SAMPLE DISTRIBUTION FUNCTIONAnnals of Mathematical Statistics, 32
R. Curnow (1972)
The multifactorial model for the inheritance of liability to disease and its implications for relatives at risk.Biometrics, 28 4
T. Hutchinson (1992)
In the multifactorial model of disease transmission, why is the rank correlation sensitive to choice of bivariate distribution?Annals of Human Genetics, 56
A. Kemp, T. Hutchinson, C. Lai (1991)
Continuous Bivariate Distributions, Emphasising ApplicationsThe Statistician, 41
In its usual form, the multifactorial model of disease transmission assumes that the liabilities to disease have a multivariate normal distribution. This paper studies how sensitive to this assumption are the quantitative results from the model. Accordingly, bounds are established for the probability of a child having a disease, given that both parents have it and taking the heritability of the disease to be known. Unfortunately, these bounds turn out to be wide. For example, a probability that is 0.38 under the trivariate normal model may be as low as 0.12 or as high as 0.78 under other trivariate models, even if attention is restricted to those of variables‐in‐common form. The broader statistical issue of the meaning of trivariate dependence, as distinct from bivariate dependence, is also discussed.
Annals of Human Genetics – Wiley
Published: Jan 1, 1999
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.