Dear All:
I have a clinical study where I would like to compare the demographic
information for 2 samples in a study. The demographics include both
categorical and continuous variables. I would like to be able to say whether
the demographics are significantly different or not.
The majority of papers that I have read use multiple techniques to achieve this
(e.g., t-test for the continuous variables and either Fischer exact or
Chi-square for categorical). I wonder whether this might lead to spurious
differences due to multiple significance tests. Is there a better way to do
this?
Thanks in advance for your advice,
Mark
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