The National Institute for Applied Statistics Research Australia (NIASRA) at the University of Wollongong will be hosting StatsWeek@UOW 2016 https://niasra.uow.edu.au/statsweek2016/index.html from 1 to 5 February on the Wollongong Campus.
StatsWeek consists of the following three courses:
High-Dimensional Data Analysis, A short course with Olivier Thas (Ghent University) Monday and Tuesday, 1-2 February 2016 $800 ,$700 SSAI Members, $400 Students
High-dimensional data are generated by modern high-throughput technologies that have emerged in many disciplines such as genomics, brain imaging and the environmental sciences. Dimension-reduction is often required to analyse such data and it is important to select a method appropriate for the research question. This course offers practical intermediate-level coverage of the analysis of high-dimensional data with examples drawn from genomics, medicine, and the environmental sciences.
Multi-Level Models for Social Network Analysis, A short course with Mark Tranmer (University of Manchester) Wednesday, 3 February 2016 $400, $350 SSAI Members, $200 Students
Social network analysis investigates connections (ties) between units (e.g. individuals, organisations) and the association of attributes of these units with their connections. Mutilevel modelling is a well established method for the analysis of educational and geographical data - less so for social network data. This course explains how multi-level (mixed) models can be useful for social network analysis for ego-nets and network nodal attributes (see below).
Social Network Analysis with Statnet, A short course with Pavel Krivitsky (University of Wollongong) and Martina Morris (University of Washington) Thursday-Friday, 4-5 February 2016 $800, $700 SSAI Members, $400 Students
This course will provide a practical introduction to social network analysis and modelling using R and the statnet suite of packages. It covers analytical methods for both cross-sectional (snapshot) and dynamic (temporally evolving) networks, including methods for egocentrically-sampled data. Practical examples focus on epidemiological applications such as HIV transmission dynamics.
You can register for one, two or all three courses. A 10% discount applies for multiple courses. Please visit the NIASRA webpage http://niasra.uow.edu.au/index.html and click the StatsWeek link for more information and to register online. Places are limited and registrations will be processed in the order they arrive.
The City of Wollongong is located just 80km south of Sydney on a spectacular stretch of the southern New South Wales coast. Wollongong's natural environment offers pleasant summer weather and includes pristine beaches and a great network of walking/biking trails and dazzling views of the coastline along the escarpment to the west.
StatsWeek is sponsored by NIASRA and the University of Wollongong.