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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