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However, few studies have addressed the costs and benefits of adding characters with missing data, especially for likelihood analyses of multiple loci.
Because we depended on clinical documentation done during routine care, there were missing data, especially in alcohol withdrawal severity scoring where analysis was limited to the 11 patients with complete scoring data.
However, the extent of missing data, especially among the disadvantaged sections of the Indian population, cannot be addressed by modeling or weighting techniques.
Many RCTs had missing data especially on the domains of sequence generation, allocation concealment and blinding.
Furthermore, during data analysis we encountered the problem of missing data especially the biochemical data.
Another limitation is missing data, especially for BMI and smoking, which could be a potential source of bias.
Similar(35)
Issues arising from missing data are especially problematic with EST phylogenetic studies and are caused by two factors.
Because missing data is especially confounding for our analysis, arrays where greater than 5% of the gene expression information was missing were removed from our analysis.
Analysis without these outliers reduces the missing data even further, especially the number of missing items as all questionnaire items were missing for these patients.
This is also illustrated by Examples 5,6,7,8, etc, except the case of the missing SEM of X1 in Example 5. Dealing with missing data in statistics, especially in meta-analysis is a very important issue (e.g., [ 37- 39]).
The existence of missing data is unavoidable, especially in a large data matrix, because of gene loss and difficulty in obtaining the sequences, but information about the amount and distribution of incompleteness should be clearly stated and their potentially misleading effects should be studied and/or carefully discussed.
Related(18)
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