CPD103 - Maximising the use of Australian Bureau of Statistics Data Products and Analysis Tools

  • 30 Sep 2019
  • 9:00 AM - 4:30 PM
  • Canberra

Registration


Registration is closed


SSA and the Australian Bureau of Statistics are pleased to present the following pre-conference workshop in the lead-up to this year's Young Statisticians Conference, YSC2019:

Maximising the use of Australian Bureau of Statistics Data Products and Analysis Tools
in Canberra (Manuka Oval, Griffith) on 30 September 2019.

About the workshop
This one-day workshop will have two components. First, it will provide an overview of the wide variety of data sources from the Australian Bureau of Statistics that are available for analysts. These sources include our 5-yearly Census, survey data, administrative data, and in particular, linked data. A demonstration of the ABS Table Builder and Data Lab products - platforms for analysts to remotely undertake bespoke analyses using ABS data - will be given. Several case studies will provide examples of the many innovative ways analysts are making use of ABS data for their projects. Second, it will focus on how Table Builder can produce data-cubes for a standard analysis in R. This will then extend to creating large data- cubes suitable for mixed models using the ‘LME4’ package in R. This second component of the workshop will conclude with discussion of Poisson-gamma models, which have additional advantages in this type of data framework. 

About the presenters

Cassandra Elliott (ABS)
Cassandra has 14 years experience in population and social statistics at the ABS. Cassandra is currently leading the development of the 2020-21 National Health Survey and the Intergenerational Health and Mental Health Study planned for 2022

Jennifer Marley (ABS)
Since finishing her Bachelor of Mathematics degree, Jennifer Marley has followed an interesting career trajectory at the ABS for the last 11 years.  She has worked on statistical data confidentiality, conducted research into the utilisation of novel data sources (most notably satellite remote sensing data for estimating agricultural statistics) and led the development of microdata products from the Multi-Agency Data Integration Project integrated data asset.  She is currently a Principal Data Scientist in the Machine Intelligence and Novel Data Sources or MINDS team, which leads the cutting edge data science research at the ABS.

Gwenda Thompson (ABS)
Gwenda Thompson has a PhD in statistics and has worked at the ABS for 9 years.  She was part of the teams that developed the confidentiality modules for SurveyTable builder and a new data linking method.  She is currently managing various data linkage projects.  Prior to the ABS, Gwenda worked in the IT industry in London and the USA for over 10 years.

Jenny Welsh (ANU)
Jenny Welsh is an epidemiologist with 10 years of experience working with health-related datasets, including large-scale, linked data and longitudinal survey data.  Jenny is currently employed at the National Centre for Epidemiology and Population Health at the Australian National University working on research related to the Linked Data for Better Health project.

Ian Rayson (ABS)
Ian Rayson has 10 years experience as a statistical methodologist at the ABS. Ian is currently Assistant Director of the Health National Statistics Centre, leading a team producing health statistics for small geographic areas.

James Brown
James Brown has over 20 years of experience as an applied statistician including collaborations with Government Statistics in the UK and Australia. Since September 2013, he is Professor of Official Statistics at UTS and just completed a term as Associate Head of School (Research) for School of Mathematical & Physical Sciences.

Fees:

Early Bird (closing on 16 August 2019)

SSA student member $140

Non-member student: $180

SSA member: $280

Non member: $350

ABS staff (up to 15 in total): $140

From 17 August:

SSA student member $190

Non-member student: $230

SSA member: $330

Non member: $400

ABS staff (up to 15 in total): $190

Other useful information:
Workshop participants will need to bring a laptop loaded with R and RStudio. The required packages are readxl, dplyr, tidyr, stringr, and lme4. They are also required to register for a free ABS TableBuilder Basic account here.

Participants would benefit from knowledge of models of count/binary data (eg poisson and logistic regression). Some useful background reading is available here

Travel Expenses
Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. Please contact the SSA Office before making any travel arrangements to confirm that the workshop will go ahead, because the Society will not be held responsible for any travel or accommodation expenses incurred due to a workshop cancellation.

Cancellation Policy
Cancellations received prior to Monday, 23 September 2019 will be refunded, minus a $20 administration fee. 
From then onwards no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to eo@statsoc.org.au.

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