Title: Multiple imputation for analyzing 2×2 cross over design with missing data
Abstract: AIM: To handle 2×2 cross-over data set with missing data by using Multiple Imputation method provided by Rubin and to avoid the difficulties in statistical analysis owing to missing data in medical research. METHODS: We used MI to fill in missing data and analyzed the multiply imputed data sets with standard statistical procedure, then combined the statistical inferences with MIANALYZE procedure. RESULTS: The multiple imputation method imputed missing values of the crossover design and generated valid statistical inferences. CONCLUSION: MI and MIANALYZE procedures provide a valid strategy for handling 2×2 cross over data set with missing data.
Publication Year: 2004
Publication Date: 2004-01-01
Language: en
Type: article
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