Multiple Imputation of Missing Values: Update

作者：Patrick J Royston · 发表于：The Stata Journal Promoting communications on statistics and Stata · 年份：2005 · DOI：10.1177/1536867x0500500204 · 被引用次数：759 · 研究领域：Statistical Methods and Bayesian Inference、Statistical Methods and Inference、Probability and Statistical Research

This article describes a substantial update to mvis, which brings it more closely in line with the feature set of S. van Buuren and C. G. M. Oudshoorn's implementation of the MICE system in R and S-PLUS (for details, see http://www.multiple-imputation.com ). To make a clear distinction from mvis, the principal program of the new Stata release is called ice. I will give details of how to use the new features and a practical illustrative example using real data. All the facilities of mvis are retained by ice. Some improvements to micombine for computing estimates from multiply imputed datasets are also described.