Statistical methods for incomplete data: Some results on model misspecification

Volume: 26, Issue: 1, Pages: 248 - 267
Published: Jul 11, 2016
Abstract
Inverse probability weighted estimating equations and multiple imputation are two of the most studied frameworks for dealing with incomplete data in clinical and epidemiological research. We examine the limiting behaviour of estimators arising from inverse probability weighted estimating equations, augmented inverse probability weighted estimating equations and multiple imputation when the requisite auxiliary models are misspecified. We compute...
Paper Details
Title
Statistical methods for incomplete data: Some results on model misspecification
Published Date
Jul 11, 2016
Volume
26
Issue
1
Pages
248 - 267
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