[Statlist] talks on statistics

[Christina Kuenzli]

                  ETH and University of Zurich 

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

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           We are glad to announce the following talks
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     Friday, October 5th, 2007  15.15h  LEO C 6
 
     Structure Learning in Nested Effects Models 
    
     Achim Tresch, IMBEI, University of Mainz, Germany

Nested Effects Models (NEMs) are a class of graphical models introduced 
to analyze the results of gene perturbation screens. NEMs explore noisy 
subset relations between the high-dimensional outputs of phenotyping 
studies, e.g. the effects showing in gene expression profiles or as 
morphological features of the perturbed cell.
After a short introduction to the NEM formalism, we expand the 
statistical basis of NEMs in four directions: First, we prove model 
identifiability under mild assumptions. Second, we show that the new 
formulation of the likelihood allows to efficiently traverse model 
space. Third, we incorporate prior knowledge and an automated variable 
selection criterion to decrease the influence of noise in the data. 
Fourth, we extend the NEM formalism to model multiple perturbations.We 
show the results of a NEM analysis of two microarray data sets of RNA 
interference experiments in drosophila and human.

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     Friday, October 19, 2007  15.15h  LEO C 6
 
     The effect of miss-specified baseline characteristics on
     inference for longitudinal trends in linear mixed models 
    
     Geert Verbeke, Biostatistical Centre K.U.Leuven, Belgium

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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/~