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There are alternative approaches to dealing with missing information that allow all cases to be retained for analysis.
To test the adequacy of our methods for dealing with missing information, we randomly selected a trial from [ 1] and deleted its SEM value.
Of course, there are other reasonable intermediate procedures, for example, a Bayesian predictive approach is a very natural tool for dealing with missing information.
This limited simulation study indicates that multiple imputation with chained equations is an appropriate technique for dealing with missing information on tumour stage in population-based cancer registries, if the amount of unstaged cases is on a reasonable level.
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For this to happen, however, learning algorithms need to be developed that can deal with missing information in the learning examples in a principled manner, and without the need for external supervision.
This implies that suitable procedures capable to deal with missing information at the receiver are essential.
In conclusion, the results of the present study demonstrated a short-cut of the human information-processing system to deal with missing information when faced with causally linked video sequences: the event-completion effect.
Such missing data scenarios leave researchers with the choice of dropping cases entirely when they have missing responses to some questions, or alternatively, finding an imputation solution to deal with missing information.
The conclusions of most studies have potential bias due to missing information on randomisation concealment and the blinding procedure, and inappropriate methods for dealing with missing data.
There are a number of alternative ways of dealing with missing data.
Dealing with missing data will include various imputation methods.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com