One rule per answer ;-)

Talk to the statistician before conducting the study. If possible, before applying for the grant. Help him/her understand the problem you are studying, get his/her input on how to analyze the data you are about to collect and think about what that means for your study design and data requirements. Perhaps the stats guy/gal suggests doing a hierarchical model to account for who diagnosed the patients - then you need to track who diagnosed whom. Sounds trivial, but it's far better to think about this before you collect data (and fail to collect something crucial) than afterwards.

On a related note: do a power analysis before starting. Nothing is as frustrating as not having budgeted for a sufficiently large sample size. In thinking about what effect size you are expecting, remember publication bias - the effect size you are going to find will probably be smaller than what you expected given the (biased) literature.