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  • Title: [On the problem of missing data: How to identify and reduce the impact of missing data on findings of data analysis].
    Author: Wirtz M.
    Journal: Rehabilitation (Stuttg); 2004 Apr; 43(2):109-15. PubMed ID: 15100920.
    Abstract:
    The impact of missing data on the analysis of empirical data is a frequently unrecognized problem. Missing data may not only result in a decrease in the actual sample size but potentially biasing effects on statistical findings have to be considered as well. Two important points are made in this article: Firstly, it is shown why the identification of potential causes of missing data should be an inherent part of any data analysis; secondly, the handling of missing data should be based on appropriate assumptions in order to avoid biased results and problems concerning the interpretation of empirical findings.
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