October 2012 - statslausanne

Next statistics forum: Helena Marti Soler, Thursday 1st November 2012
by Frederic Schutz 29 Oct '12

29 Oct '12

Dear all, The next seminar in our series of statistics talks for people interested in quantitative methods in biology and medicine will take place on Thursday 1st November at 11h00 in the Salle Delachaux (Biopôle 2, premier étage, Route de la Corniche 10, Lausanne, M2: Vennes). The speaker will be Helena Marti Soler from the IUMSP, who will talk (in French) about "Modélisation des données d’enquêtes cas-cohorte par imputation multiple : Application en épidémiologie cardio-vasculaire". Please see the abstract attached (in PDF). You can find more information about the forum on our web page at http://moodle.unil.ch/course/view.php?id=2729 Hope to see you there ! Frédéric (for the organizers: Jérôme Goudet, Valentin Rousson, Frédéric Schütz)

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Symposium en l'honneur d'Alfio le 2 novembre
by Frederic Schutz 18 Oct '12

18 Oct '12

Dear list members, A scientific workshop will be held on *November 2 2012 at 14:00* (Friday) in honor of *Professor Alfio Marazzi* who has just retired from the University Hospital and from the University of Lausanne. _Workshop title:_ *STATISTICAL ANALYSIS OF HOSPITAL DATA AND THE ROLE OF ROBUST STATISTICS IN THIS REGARD* _Time_: Friday, November 2 2012 at 14:00 _Location_: Room Delachaux, first floor of building Biopôle 2, Route de la Corniche 10, 1010 Lausanne (metro station: Vennes) _Speakers_: * Olivier Peters and Hong Dung Duong (University Hospital Lausanne): "Les limites de la structure tarifaire SwissDRG - une méthode pour les contourner" * Peter Rückdeschel (Freihofer Institut, Kaiserslautern): "Bed at risk - how long must we stay robust(ly) ?" * Claudio Agostinelli (Ca' Foscari University, Venise): "Robust inference in Generalized Linear Models with applications to hospital costs" * Victor Yohai (Universidad de Buenos Aires): "Robust estimates of location and scatter matrix under the independent contamination model" An aperitif will be organized at the end of the workshop. If you intend to participate to the workshop and if you are not working at the University Hospital Lausanne, please send a short note to Catherine Turrian (catherine.turrian(a)chuv.ch) if possible before October 29, such that we can estimate the number of participants. We are looking forward to see you there! ---------------------------------------------------- Valentin Rousson Unité de Statistique Institut Universitaire de Médecine Sociale et Préventive Centre Hospitalier Universitaire et Université de Lausanne Biopôle 2 Route de la Corniche 10 CH-1010 Lausanne Tél : ++41 (021) 314 73 28 Fax : ++41 (021) 314 73 73 Email: Valentin.Rousson(a)chuv.ch <mailto:Valentin.Rousson@chuv.ch>

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Next statistics forum: Darlene Goldstein and Alix Leboucq, Thursday 18 October 2012
by Frederic Schutz 15 Oct '12

15 Oct '12

Dear all, The next seminar in our series of statistics talks for people interested in quantitative methods in biology and medicine will take place Thursday 18 October at 11h00 in the Génopode Building in Dorigny (room 2020). The speakers will be Darlene Goldstein and Alix Leboucq from the EPFL, who will talk about "Combining microarray studies with missing information". Abstract: Meta-analysis of microarray studies to produce an overall gene list is relatively straightforward when complete data are available. When some studies are missing information (for example, some studies have only a ranked list of genes instead of complete primary data), a common approach is to reduce all studies to ranked lists prior to combining. Since this step entails a loss of information, we wondered whether we could improve the final list by attempting to preserve the information available for each study. We therefore consider a modeling approach to combine the studies using the type of information available in each study: full data matrix, summary statistics, or ranks for each gene. We will discuss progress in the development of the model, some results from a simulation study of model performance and from real data. You can find more information about the forum on our web page at http://moodle.unil.ch/course/view.php?id=2729 Hope to see you there ! Frédéric (for the organizers: Jérôme Goudet, Valentin Rousson, Frédéric Schütz)

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Next statistics forum: Jan Beyersmann, Thursday 4 October 2012
by Frédéric Schütz 02 Oct '12

02 Oct '12

Dear all, The next seminar in our series of statistics talks for people interested in quantitative methods in biology and medicine will take place Thursday 4 October at 11h00 in the Salle Delachaux, Biopôle 2 (first floor), route de la Corniche 10, Lausanne (metro: M2, Vennes). The speaker will be Jan Beyersmann who will talk about "Competing risks and simulation". Abstract: The analysis of survival or time-to-event data is one of the most common applications of advanced statistical techniques in medical research and beyond. Data are typically incomplete as a consequence of limited observation periods. Therefore, survival analysis is based on hazards. Hazard-based techniques also allow for analysing competing risks, i.e., time-to-first-event and type-of-first-event. A common example from cancer research is relapse-free survival, which is the time until relapse or death, whatever comes first. A competing risks analysis distinguishes between these two event types, but the presence of more than one event-specific hazard poses a challenge both in theory and practice. We discuss the use of simulation to understand and analyse competing risks data, interpret the analyses and plan studies with competing risks outcomes. Reference: Beyersmann, J., Allignol, A., and Schumacher, M. (2012) Competing Risks and Multistate Models with R. Springer, New York You can find more information about the forum on our web page at http://moodle.unil.ch/course/view.php?id=2729 The next seminar will take place on 18 October in Dorigny. The speakers will be Darlene Goldstein and Alix Leboucq, from the EPFL. Hope to see you there ! Frédéric (for the organizers: Jérôme Goudet, Valentin Rousson, Frédéric Schütz)

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