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\centerline{\bf STANFORD UNIVERSITY}
\centerline{\bf DEPARTMENT OF STATISTICS}
\centerline{\big DEPARTMENTAL SEMINAR}
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\centerline{4:15 p.m., Tuesday, December 5, 2000}
\centerline{Sequoia Hall Rm. 200}
\centerline{(Cookies at 3:45 in 1st Floor Lounge)}

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\centerline{\sl Juliet Shaffer}
\centerline{\sl Statistics Department}
\centerline{\sl Berkeley}
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\centerline{\bf Current issues and unsolved problems in multiple comparisons}
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The field of multiple comparisons has seen a great increase in research
activity in recent years.  This talk will deal primarily with hypothesis
testing based on p-values, a flexible approach with minimal reliance on
parametric assumptions.  Two types of situations will be covered:  Separate
tests of hypotheses on individual parameters, and pairwise comparisons of
values of these parameters. I will discuss current methods and their error
control and power properties and will illustrate some of the issues by
applications in education and in microarray analysis. Unsolved problems
relevant to the properties of these methods, both conceptual and
computational, will be described. 

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