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March 2019

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XXXIst ROES conference, September 9-12, 2019, Lausanne, Switzerland
by Rousson Valentin 25 Mar '19

25 Mar '19

Dear list members, This is to announce that the 31st conference of the Austro-Swiss Region (ROeS) of the International Biometric Society will take place in Lausanne, Switzerland, between September 9-12, 2019, under the motto: >From Controlled Trials to Big Data and Back Registration and abstract submission is open. Please visit the following link: http://wp.unil.ch/ibs-roes2019/ Statistical data analyses are sometimes classified as being either exploratory or confirmatory, while the reality of statistical practice often lies in between. This middle territory is exemplified by "model selection" issues and Frank Harrell's famous words: "Using the data to guide the data analysis is almost as dangerous as not doing so". The most accomplished confirmatory statistical analyses are conducted in the context of controlled (clinical) trials, where regulations and guidelines are to ensure a fully protocolled and planned statistical analysis. On the other hand, we are now living in the era of "big data" and "data science", where extreme forms of exploratory data analyses are encouraged with the hope that data quantity prevails over data quality. While data science is currently in vogue, there is also some perception that "those who ignore statistics are condemned to reinvent it", as Brad Efron once said. It might be a time to return from the big data paradigm towards more classical approaches and concerns, and to land somewhere between the two extremes of the purely confirmatory and purely exploratory data analyses. The XXXIst ROeS statistical conference will be a timely occasion to try to define what this "middle ground" should or could be to best meet the expectations of scientists. I hope to encounter many of you at this occasion! I would also be grateful if you could send this link and make publicity for the conference around your colleagues and within your network. With best wishes Valentin [1549450169707] Prof Valentin Rousson DFRI - Département Formation, Recherche et Innovation Route de la Corniche 10 | Bureau BIO02/02/103 CH-1010 Lausanne Tél direct : +41 (0)21 314 7328 www.iumsp.ch<http://www.iumsp.ch/>

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Statistical forum on Thursday March 21 at 11:00
by Rousson Valentin 13 Mar '19

13 Mar '19

Dear all, Another seminar in our series of statistics talks for people interested in quantitative methods in biology and medicine will take place on Thursday March 21 2019 at 11:00 in the Salle Delachaux (SVA-Biopôle 2 building, first floor, Route de la Corniche 10, 1010 Lausanne, M2: Vennes). The speaker will be Dr. Marc Ryser, assistant professor at the Duke University School of Medicine, USA. Title : Estimating overdiagnosis in cancer screening studies: a statistical conversation about bias, identifiability and biologic mechanism Abstract : It is generally accepted that some screen-detected cancers are overdiagnosed and would not progress to symptomatic cancer if left untreated. However, because overdiagnosis is not directly observable, obtaining precise estimates constitutes a methodological challenge. In the first part of the talk we discuss the most common methods used to estimate overdiagnosis, namely excess-incidence and model-based approaches. We explain why most excess-incidence studies are prone to bias and consider model-based approaches that build on and extend methods for interval censored incidence as observed in cancer screening trials. Our extension permits preclinical tumors that are non-progressive but raises parameter identifiability issues. We discuss identifiability and model misspecification and propose concrete solutions to address these challenges. In the second part of the talk, we revisit the problem of cancer overdiagnosis through the lens of cancer biology. In particular, we seek to reconcile the current paradigm of cancer initiation and progression with the statistical overdiagnosis estimates from cancer screening studies and highlight the need for multi-scale approaches that integrate evidence from multiple sources. I am also joining two papers related to this talk. Hope to see you there! Valentin (for the organizers: Jean-Luc Bulliard, Zoltán Kutalik, Valentin Rousson, Frédéric Schütz) [1549450169707] Prof Valentin Rousson DFRI - Département Formation, Recherche et Innovation Route de la Corniche 10 | Bureau BIO02/02/103 CH-1010 Lausanne Tél direct : +41 (0)21 314 7328 www.iumsp.ch<http://www.iumsp.ch/>

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