66 citations · 189 across the 22 of their papers we have counts for
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stat.ME2019
Leveraging Random Assignment to Impute Missing Covariates in Causal Studies
Gauri Kamat, Jerome P. Reiter
Baseline covariates in randomized experiments are often used in the estimation of treatment effects, for example, when estimating treatment effects within covariate-defined subgrou…
stat.ME2019
Leveraging Auxiliary Information on Marginal Distributions in Nonignorable Models for Item and Unit Nonresponse
Olanrewaju Akande, Gabriel Madson, D. Sunshine Hillygus +1
Often, government agencies and survey organizations know the population counts or percentages for some of the variables in a survey. These may be available from auxiliary sources,…
stat.ME2019★ 2 cited
Sequentially additive nonignorable missing data modeling using auxiliary marginal information
Mauricio Sadinle, Jerome P. Reiter
We study a class of missingness mechanisms, called sequentially additive nonignorable, for modeling multivariate data with item nonresponse. These mechanisms explicitly allow the p…