Relative efficiency of joint-model and full-conditional-specification multiple imputation when conditional models are compatible: The general location model

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Relative efficiency of joint-model and full-conditional-specification multiple imputation when conditional models are compatible: The general location model.

Estimating the parameters of a regression model of interest is complicated by missing data on the variables in that model. Multiple imputation is commonly used to handle these missing data. Joint model multiple imputation and full-conditional specification multiple imputation are known to yield imputed data with the same asymptotic distribution when the conditional models of full-conditional sp...

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Multiple imputation (MI) is a practical, principled approach to handling missing data. When used to impute missing values in covariates of regression models, imputation models may be mis-specified if they are not compatible with the substantive model of interest for the outcome. In this article we introduce the smcfcs command, which imputes covariates by substantive model compatible fully condi...

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ژورنال

عنوان ژورنال: Statistical Methods in Medical Research

سال: 2016

ISSN: 0962-2802,1477-0334

DOI: 10.1177/0962280216665872