Weitere Informationen in diesem PDF-Dokument

Prof. Johann (Hans) Sölkner

International postgraduate course and workshop

Further information see Universität für Bodenkultur, Wien

E. Groeneveld

International Course, PhD-Program of the University of Veterinary Medicine Hannover, Germany, course number 4252. Further information see PDF-Dokument

P. Herold, T. Rewe, R. Rößler, A. Valle-Zarate

Präsentation von Projekten, Erfahrungsaustausch, Diskussionen über Weiterentwicklungen. Weitere Informationen in diesem PDF-Dokument

W. Bessei, E. v. Borell, M. Gerken, K. Reiter, A. Harlander-Matuschek

Vertiefung der Kenntnisse in der Anlage, Durchführung und Auswertung ethologischer Untersuchungen an Nutztieren. Weitere Informationen in diesem PDF-Dokument

J.L. Foulley, C. Robert-Granie, INRA, Frankreich

Mixed Model Methodology (MMM) is a key procedure for analyzing correlated data within a broad range of covariance structures both in linear and non linear frameworks. We are now in a new stage involving more sophisticated modelling approaches. These involve multi levels of modelling (population and individual; mean and variance models) and also the use of dynamic systems based on ordinary or stochastic differential equations especially in the field of functional data analysis. On the other hand, approximated inference procedures for generalized linear and non linear mixed models have clearly shown their limits and exact methods are now required. Such methods and models are now feasible via the availability of Stochastic Monte Carlo methods such as Metropolis and Gibbs sampling. These can be applied both within a classical framework (maximum likelihood and EM algorithm) or within a Bayesian one.

The purpose of this course is towfold: (i) to review these new tools in a pedagogical way and (ii) to show how they can already be applied in many areas of biostatistics (e.g. functional data analysis and genomics) using existing softwares (e.g. SAS, winbugs, R-oriented tools). Special attention will be devoted to examples and real data processing.

Weitere Informationen in diesem Dokument.

V.P. Ducrocq, INRA, Frankreich

Kurs über Nutzungsdaueranalyse in der Tierzucht mit Übungen unter Verwendung des Programmpakets "The Survival Kit".

Weitere Informationen in diesem Dokument. Anmeldeformular hier .

Dempfle, Thaller, Swalve, Götz

Auffrischung der Grundlagen der Statistik. Vertiefte Behandlung von linearen Modellen bei unbalancierten Daten einschließlich Schätzung zufälliger Effekte (BLUP) und Varianzkomponenten.

Weitere Informationen in diesem Dokument.

Bessei, v. Borell, Gerken, Reiter, Harlander-Matauschek

Vertiefung der Kenntnisse in der Anlage, Durchführung und Auswertung ethologischer Untersuchungen an Nutztieren.

Weitere Informationen in diesem Dokument.

D. Gianola

The course is targeted to animal breeders with a strong interest in Bayesian analysis with application to quantitative genetics. The working language of the course is English. The lectures are given by Prof. Daniel Gianola, Department of Animal Sciences, University of Wisconsin-Madison, USA.

Weitere Informationen in diesem Dokument.

R. Baumung, I. Curik

Rapid decline in the number of livestock breeds and reduction of genetic variability within breeds has initiated growing interest for the conservation of farm animal genetic resources. We are offering a course covering important aspects and topics in conservation genetics to raise the competence in this field.

The course will consist of lectures, computer exercises (using a variety of software packages), written exercises (pen and paper), paper discussion with presentations (landmark papers) as well as demonstration of particular case studies and group work on given projects.

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E. Strandberg and P. Bijma

PhD course on environmental sensitivity and genotype x environment interactions

Weitere Informationen in diesem Dokument.

L. Dempfle, H. Simianer, H.H. Swalve, K.-U. Götz

Kurs über lineare Modelle und SAS für Doktoranden.

W. Bessei, E. v. Borell, M. Gerken, K. Reiter, A. Harlander-Matuschek

Vertiefung der Kenntnisse in der Anlage, Durchführung und Auswertung ethologischer Untersuchungen an Nutztieren. Weitere Informationen in diesem Word-Dokument

Peter Visscher

The course will focus on the design and analysis of QTL mapping experiments in outbred (animal) populations. The basic principles underlying all QTL mapping procedures will be taught using the paradigm of crosses between inbred lines. The analysis of structured QTL mapping designs in outbred populations, for example crosses between outbred lines and halfsib populations, will be covered, as well as the analysis of data from general complex pedigrees using variance component methods.

A large component of the course will be hands-on analysis of data, using both standard statistical software and dedicated QTL mapping software (including the web-based package QTL Express, http://qtl.cap.ed.ac.uk).

The course is aimed at postgraduate students in animal genetics, animal breeding, quantitative genetics and statistical genetics. A basic knowledge of quantitative genetics, statistics and molecular marker technology is assumed. For background reading, the excellent text book by Lynch & Walsh (1998, Sinauer Associates, Sunderland USA) is recommended, in particular chapters 14-16.

Weitere Informationen unter Universität für Bodenkultur, Wien

H. Swalve, K.-U. Götz, L. Dempfle, G. Thaller

Einführender SAS-Kurs für Doktoranden.

Kursunterlagen sind noch erhältlich bei: Dr. Kay-Uwe Götz, Grub.