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Nonrandom sampling in genetic epidemiology: An implementation of the Hanis-Chakraborty method for multifactorial analysis

✍ Scribed by Dr. D. C. Rao; R. Wette; Ranajit Chakraborty


Publisher
John Wiley and Sons
Year
1989
Tongue
English
Weight
674 KB
Volume
6
Category
Article
ISSN
0741-0395

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✦ Synopsis


The method of Hanis and Chakraborty: [Statistics in Medicine 6:629-646, 19871 is known to yield unbiased estimates of familial correlations from family data ascertained according to just about any method of nonrandom sampling. For multifactorial analysis of such family data, the method is implemented here so as to provide a unique solution, handle variable sibship sizes, and provide likelihood ratio tests of hypotheses. Simulation results are presented to illustrate the utility of the proposed implementation.