$50 – $100

Workshops on statistical methods in environmental epidemiology, 5 and 6 Apr...

Event Information

Share this event

Date and Time

Location

Location

Woolcock Institute of Medical Research

431 Glebe Point Road

Glebe, NSW 2037

Australia

View Map

Event description

Description

CAR is delighted to host two workshops on statistical methods in environmental epidemiology delivered by Associate Professor Antonio Gasparrini from the London School of Hygiene and Tropical Medicine.

Workshop one on 5 April will cover the analysis of time series environmental health data. Workshop two on 6 April will present a framework for projecting health impacts under differing climate scenarios.

About the presenter

Antonio Gasparrini is Associate Professor of Biostatistics and Epidemiology in the Department of Social and Environmental Health Research at the London School of Hygiene and Tropical Medicine. His research activities range from investigations of the health effects of environmental or occupational factors to the evaluation of public health interventions. His current focus is on the impact of weather and climate change on health.

His methodological work focuses on the development of study designs and statistical methods, applied in particular to time series analysis, quasi-experimental studies and survival data. He has contributed to the development and extensions of a number of statistical techniques, such as distributed lag models, smoothing methods and meta-analytical models.

For more information about Professor Gasparrini: https://www.lshtm.ac.uk/aboutus/people/gasparrini.antonio

Who should attend the workshops?

  • These are two separate technical workshops for those who analyse environmental and health data using R.

  • Workshop one: This is for researchers interested in learning standard and more recently developed advanced approaches to analysing time series environmental health data.

  • Workshop two: This is for researchers interested in climate change research and health impact projections.

  • You will need to bring your own laptop with R installed.

  • Basic experience in implementing time-series methods using R is extremely helpful and required for workshop two.


Workshop one: Advanced modelling techniques for Time Series Analysis using R
10am to 4pm, Friday 5 April, $100/$50 students

Time series analysis has become a key tool for investigating the short-term effects of environmental risk factors. In the past two decades, there has been considerable development of more sophisticated study designs and statistical models for using time series data. This workshop will offer an overview of recent methodological advancements focusing on their application through the statistical software R. Participants will be provided with a theoretical introduction, as well as practical experience with a hands-on session using real-data examples, using a mix of mini-lectures and mini-practical exercises.

The content will include:study designs and statistical models for time series analysis; modelling non-linear and delayed effects; pooling results in two-stage multi-location analyses, multivariate meta-analysis and meta-regression; and an introduction to the novel case time series design for individual-level rather than aggregated time series data. At the end of the course, participants will be able to apply state-of-the-art methodologies for time series analysis using R, and will have skills in correctly interpreting software outputs, and in conducting these analyses in their own research. R scripts and specific functions will be provided.


Workshop two: Projecting health impacts under climate change scenarios
10am-3pm, Saturday 6 April $100/$50 students

Reliable evidence on health impacts due to global warming is critical for the design and implementation of effective adaptation and mitigation strategies. However, projecting health burdens associated to specific environmental stressors can be a difficult task, mostly due to the potentially complex risk patterns and inherent uncertainty of future climate scenarios. These methodological issues can be addressed by applying advanced study designs and statistical techniques developed for time-series analyses.

The workshop will provide a practical overview on a novel methodological framework for health impact projections under climate change scenarios. The framework will be illustrated through a short theoretical introduction followed by a practical example of a projections study using real data and implemented R code. The session will be structured into several sub-sections covering the different analytical steps of the framework. In each of them, participants will be introduced to the specific methodological approach, and will be able to apply it using the provided R code and data.

Morning tea, lunch and afternoon tea will be provided. Please list any dietary requirements.

Need to know more?

Contact Associate Professor Fay Johnston: fay.johnston@utas.edu.au


Share with friends

Date and Time

Location

Woolcock Institute of Medical Research

431 Glebe Point Road

Glebe, NSW 2037

Australia

View Map

Save This Event

Event Saved