Sample size and power considerations for studies aiming to determine the effect of a treatment will be discussed. Sample size considerations for the comparisons of two means or two proportions will be tied to the trial design and analysis strategies (covariance adjustment, repeated measures, cluster randomization). We will also consider sample size issues in exploratory developmental research projects (NIH R21 mechanism) versus larger projects (NIH R01 mechanism). Superiority, non-inferiority and equivalence clinical trial designs will be considered for studies comparing treatment to control, or treatment to another treatment. The implementation of sample size calculations in GPower and SAS software will be illustrated. This workshop is presented by Dr. Alla Sikorskii, Assistant Professor in the Department of Statistics and Probability. Please visit www.cstat.msu.edu to register.

Location:	216 Bessey Hall [map]
Price:	Free to Graduate Students, Faculty and Research Staff
Sponsor:	public
Contact:	Dr. Brian Silver cstatinf@msu.edu 517-353-9288
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