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Comparison of two segregation analysis methods for covariate effects on cancers
by
Jisheng Cui
The University of Melbourne
Coauthors: John Hopper
We compared two different segregation analysis methods for analysing covariate effects on cancers based on family genetic and epidemiological data. One is based on the proportional hazards model and another on the regressive logistic model. Simulation studies were conducted to compare the efficiency of these two methods using statistical software STATA. These two methods were also applied to 1575 three-generation families affected with breast cancer, to investigate the effect of genotypic CYP17 polymorphism on the disease, adjusted and unadjusted for mother’s disease status.
Date received: April 4, 2002
Copyright © 2002 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # caij-84.