Details

Autor(en) / Beteiligte

• Royston, Patrick
• Carlin, John B.
• White, Ian R.

Titel

Multiple Imputation of Missing Values: New Features for Mim

Ist Teil von

• The Stata journal, 2009-01, Vol.9 (2), p.252-264

Erscheinungsjahr

2009

Link zum Volltext

Quelle

Free E-Journal (出版社公開部分のみ）

Beschreibungen/Notizen

• We present an update of mim, a program for managing multiply imputed datasets and performing inference (estimating parameters) using Rubin's rules for combining estimates from imputed datasets. The new features of particular importance are an option for estimating the Monte Carlo error (due to the sampling variability of the imputation process) in parameter estimates and in related quantities, and a general routine for combining any scalar estimate across imputations.