ZüKoSt: Seminar on Applied Statistics

Main content

Would you like to be notified about these presentations via e-mail? Please subscribe here.

Spring Semester 2017

Note: The highlighted event marks the next occurring event.

Date / Time Speaker Title Location
22 February 2017
Stef van Buuren
Utrecht University
Gerko Vink
Utrecht University
A quick tour with the mice package for imputing missing data  HG G 19.1 
Abstract: Nearly all data analytic procedures in R are designed for complete data and fail if the data contain NA's. Most procedures simply ignore any incomplete rows in the data, or use ad-hoc procedures like replacing NA with the "best value". However, such procedures for fixing NA's may introduce serious biases in the ensuing statistical analysis. Multiple imputation is a principled solution for this problem and is implemented in the R package MICE. In this talk we will give a compact overview of MICE capabilities for R experts, followed by a discussion.
2 March 2017
Ben Marwick
University of Washington, Seattle
Reproducible Research Compendia via R packages  HG G 19.1 
Abstract: "Long considered an axiom of science, the reproducibility of scientific research has recently come under scrutiny after some highly-publicized failures to reproduce results. This has often been linked to the failure of the current model of journal publishing to provide enough details for reviewers to adequately assess the correctness of papers submitted for publication. One early proposal for ameliorating this situation is to bundle the different files that make up a research result into a publicly-available 'compendium'. At the time it was originally proposed, creating a compendium was a complex process. In this talk I show how modern software tools and services have substantially lightened the burden of making compendia. I describe current approaches to making these compendia to accompany journal articles. Several recent projects of varying sizes are briefly presented to show how my colleagues and I are using R and related tools (e.g. version control, continuous integration, containers, repositories) to make compendia for our publications. I explain how these approaches, which we believe to be widely applicable to many types of research work, subvert the constraints of the typical journal article, and improve the efficiency and reproducibility of our research."
11 May 2017
Alexandre Pintore
Winton Capital Management
Title T.B.A. HG G 19.2 
18 May 2017
Philip O'Neill
University of Nottingham
Title T.B.A.  HG G 19.1 
Abstract: tba

Archive: SS 17  AS 16  SS 16  AS 15  SS 15  AS 14  SS 14  AS 13  SS 13  AS 12  SS 12  AS 11  SS 11  AS 10  SS 10  AS 09 

Page URL: https://www.math.ethz.ch/sfs/news-and-events/seminar-applied-statistics.html
© 2017 Eidgenössische Technische Hochschule Zürich