Premium
Extended Generalized Estimating Equations for Binary Familial Data with Incomplete Families
Author(s) -
FitzGerald Patrick E. B.
Publication year - 2002
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.0006-341x.2002.00718.x
Subject(s) - missing data , binary number , binary data , computer science , outcome (game theory) , family aggregation , generalized estimating equation , data mining , statistics , mathematics , machine learning , medicine , mathematical economics , population , arithmetic , environmental health
Summary. 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.