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Further details about multiple imputation.An interface is provided with MLwiN that allows users to carry out the full procedure and fit their final model semi-automatically. Apart from being able to deal with 2-level data it can also handle properly categorical data, whether in the response or predictor variables in a model. A standard technique for handling missing values efficiently is known as multiple imputation and the software REALCOM-IMPUTE is unique in that it has been designed to implement this procedure for 2-level data. Missing data Missing data are a persistent problem in social and other datasets.You can download this training version to gain an idea of how MLwiN works, though please note this is a limited version and is not compatible with our on-line learning materials TRAMSS Teaching Resources and Materials for Social Scientists offer a free training version of MLwiN to social scientists throughout the world.Stat-JR - a software environment for promoting interactive complex statistical modelling.R2MLwiN - Stata command to fit multilevel models in MLwiN from within R.runmlwin - Stata command to fit multilevel models in MLwiN from within Stata.REALCOM (and REALCOM Impute) - Developing multilevel models for REAListically COMplex social science data.MLPowSim - designed for performing sample size/power calculations in multilevel models via simulation.MLwiN trial version - expires after 30 days (msi, 25.6 mb) Note that this trial is currently for a previous version of MLwiN (2.36).32-bit LEMMA teaching version (online course) (msi, 20.1 mb).64-bit LEMMA teaching version (online course) (msi, 20.9 mb).Upgrade to most recent version of MLwiN (free if you already own a previous version).UK-academic download The free ac.uk download is available to UK-academics only and can be sent only to an email address ending '.ac.uk'.

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