A unified approach to linearization variance estimation from survey data after imputation for item nonresponse

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Maximum Likelihood Multiple Imputation: Faster Imputations and Consistent Standard Errors Without Posterior Draws (2012, unknown): “An alternative is to estimate the imputation parameters by applying maximum likelihood (ML) to the incomplete data Yobs [21, 24, 33, 34, 37].”
Doubly robust inference with missing data in survey sampling (2014, methodology): “In this paper, we consider an alternative framework, which we call the reverse framework ; e.g., Fay (1992), Shao & Steel (1999) and Kim & Rao (2009).”
A Semiparametric Estimation of Mean Functionals With Nonignorable Missing Data (2011, methodology): “The pseudo-values in (17) bear the same form as those in Carpenter, Kenward, and Vansteelandt (2006) under ignorable missing, and are also used for variance estimation in Kim and Rao (2009).”
Multiply robust imputation procedures for the treatment of item nonresponse in surveys (2017, background): “The consistency of V̂J can be established through the variance estimation approach of Fay (1991); see also Shao & Steel (1999), Haziza (2009) and Kim & Rao (2009).”