Descriptive Statistics for Major Variables
This chapter illustrates data exploration using an example
of a clinical study that will rely on both categorical and numeric
variables. However, the path is comparable for other fields of investigation.
The first step is to learn how much missing data there is. Some
should be expected, but if there is a suspiciously high amount of
missing data, you should refer back to your source to see if mistakes
in data collection or processing were made and if some can be retrieved.
In our example, we would ask participating clinics to go back to
the medical charts to gather missing data.
For numeric variables, check to see if the mean values and distributions are different from what you expect. Here you can ...
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