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Use of generalized estimating equations in segregation analysis of continuous outcomes

✍ Scribed by Dr. Daniel O. Stram; Hang Lee; Duncan C. Thomas

Publisher
John Wiley and Sons
Year
1993
Tongue
English
Weight
252 KB
Volume
10
Category
Article
ISSN
0741-0395

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✦ Synopsis

The use of generalized estimating equations (GEE) [Liang and Zeger, 19861 is explored as a potential alternative to maximum likelihood methods for segregation analysis of continuous phenotypes. We discuss the number of sample moments required by GEE to estimate parameters in simple major gene models, and the computational burden of the GEE methods applied to large pedigrees.

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