Abstract:Missing data is a common challenge in biomedical research. This fact, along with growing dataset volumes of the modern era, make the issue of computationallyefficient analysis with missing data of crucial practical importance. A general computationallyefficient estimation framework for dealing with missing data is the pseudo-expected estimating equations (PEEE) approach. The method is applicable with any parametric model for which estimation involves the solution of a set of estimating equations, such as likel… Show more
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