Extended generalized estimating equations for binary familial data with incomplete families.
In this article, we assess the performance of two standard, but naive, methods for handling incomplete familial data in GEE2 analyses when the outcome is binary. We also propose a new method for analyzing such data using GEE2 when explanatory variables are discrete. Unlike the naive methods, the new method does not require the missing data process to be ignorable. We illustrate our method with an example that examines the familial aggregation of obesity.
FitzGerald
Patrick E B
PE
Department of Public Health, University of Western Australia, Nedlands, Western Australia 6907, Australia. pfitzgerald@m-tag.net
D001699:Biometry / Q000379:methods*; D002648:Child; D003627:Data Interpretation, Statistical; D005192:Family Health; D005260:Female; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D009765:Obesity / Q000453:epidemiology / Q000235:genetics; D010290:Parents; D014904:Western Australia / Q000453:epidemiology