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. 2008 Nov 27;10(2):335–351. doi: 10.1093/biostatistics/kxn041

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© 2008 The Author(s)

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Fig. 1. — General model for regression of y on x using a combination of data sets with different observed covariates. Circles represent unknown quantities and squares represent observed data. Covariates x_(M₁) missing in data set 1 are predicted from a regression fitted using the observed values of x_(M₁) in data set 2 and variables x_(C) common to both. Covariates x_(M₂) missing in data set 2 are predicted in a similar way using information from data set 1.