Seminar und Einführungsvorlesung

[Christina Kuenzli]

              ETH and University of Zurich 

                           Proff. 
         A.D. Barbour - P. Buehlmann - F. Hampel 
              H.R. Kuensch - S. van de Geer

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    We are glad to announce the following talks
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tomorrow Friday, June 9, 2006, 15.15, LEO C 15

       Statistical inferences in linear mixed-effects models
 
       Douglas Bates, University of Wisconsin, USA  

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Einführungsvorlesung neu am 5.7.2006 und nicht wie früher
angekündigt am 14. Juni 2006.
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Friday, June 23, 2006, 15.15, LEO C 15

       Calibrating the Evidence in Experiments with 
       Applications to Meta-analysis

       Robert Staudte, La Trobe University, Victoria, Australia

To answer such a question, a calibration scale is proposed for evidence in
the p-value, and compared with a recently proposed Bayesian calibration
scale by Selke, Bayarri and Berger (The American Statistician, 2001). In 
many routine problems the evidence in the p-value can be obtained directly
by variance stabilizing the test statistic. This is a classical problem
which many statisticians have studied because it often leads to confidence
intervals for model parameters. It also facilitates combinations of
evidence from different studies. However, variance stabilization, while
straightforward in principle, often does not always work so well in
practice.  We briefly consider the problem of finding the evidence in the
one-sample Student-t statistic and then concentrate on the Welch two-sample
statistic. Applications to combining evidence in two-sample comparisons
from different studies and confidence intervals for an overall effect are
presented.

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Einführungsvorlesung:

Mittwoch, 5. Juli 2006, 17.15  HG F 30  Audimax
         
         Über die Grenzen des Lernens
         
         Sara van de Geer, Seminar für Statistik, ETH Zürich

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________________________________________________________
Christina Kuenzli            <kuenzli at stat.math.ethz.ch>
Seminar fuer Statistik      
Leonhardstr. 27,  LEO D11      phone: +41 (0)44 632 3438         
ETH-Zentrum,                   fax  : +41 (0)44 632 1228 
CH-8092 Zurich, Switzerland        http://stat.ethz.ch/~