Analysis of Incomplete Multivariate Data (Monographs on Statistics and Applied Probability, No. 72)

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Civic Education and Democratic Capacity: How Do Teachers Teach and What Works? (2013, methodology): “This is a technique that finds maximum likelihood estimates in parametric models for incomplete data (for a complete description, see Little and Rubin, 1987; McLachlan and Krishnan, 1997; Schafer, 1997).”
ON THE STATIONARY DISTRIBUTION OF ITERATIVE IMPUTATIONS (2010, background): “Given the existence of a unique invariant (stationary) distribution of the iterative imputation Markov chain, we provide a set of conditions under which this distribution converges in total variation to the posterior distribution of a joint Bayesian model, as the sample size tends to infinity.”
Failure to Launch, Failure to Achieve Criteria for Adulthood? (2010, methodology): “Therefore, the expectation-maximization (EM) algorithm was used for data imputation, a robust method to obtain maximum likelihood estimates (Schafer, 1997).”
Controlled-Release Phentermine/Topiramate in Severely Obese Adults: A Randomized Controlled Trial (EQUIP) (2011, methodology): “The separate results from the imputed datasets were then pooled into single estimates and tested as described by Schafer (45).”