the literature on missing data in longitudinal settings is fairly limited, and more research on dealing with missing auxiliary data would be useful. We do believe that many of the above approaches can be easily modified to incorporate auxiliaries by replacing in the conditional means and probabilities with , which includes (Y1,…,Yk–1,V1,…,Vk–1). An excellent example of the use of this method is Liu et al. (2009).
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4 Drawing Inferences from Incomplete Data ."
The Prevention and Treatment of Missing Data in Clinical Trials . Washington, DC: The National Academies Press,
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