CPD101- Mediation Analysis Using Potential Outcome Framework

  • 30 Sep 2019
  • 9:00 AM
  • 1 Oct 2019
  • 5:00 PM
  • UniSA City West Campus, Adelaide
  • 18

Registration

  • Please provide proof of full-time student status after registration to eo@statsoc.org.au. Student membership with SSA is available for $20.00.
  • Please provide proof of full-time student status to eo@statsoc.org.au after registration.
    Student membership is available for $20.00.

Register

The aim of this workshop, presented by Dr Murthy Mittinty of the University of Adelaide's School of Public Health, is to provide an outline of recent developments in mediation analysis, that is, the analyses used to assess the relative magnitude of different pathways and mechanisms through which an exposure may affect an outcome.

This workshop will provide:

(i) Conceptual understanding and interpretability of the results;

It will cover traditional approaches to mediation such as product and difference methods and introduce the latest developments such as counterfactual approach. Importance will be given to the confounding assumptions required for a causal interpretation of direct and indirect effect estimates. Methods from the causal inference literature to conduct mediation in the presence of exposure mediator interactions, binary outcomes, binary mediators, and case-control study designs will be demonstrated.  Sensitivity analysis techniques for unmeasured confounding and measurement error will be introduced. Discussion will focus on extending single mediation analysis to multiple mediators.

(ii) Using epidemiological data practical applications of the above methods will be demonstrated. Analysis will be demonstrated using commonly used software such as STATA.

(iii) Emphasis will also be given on report and communication of the estimates from the above methods.

Workshop prerequisites are experience in regression analysis and epidemiology.

About the presenter
Dr Murthy Mittinty is a senior research fellow in the University of Adelaide’s School of Public Health. His research interests are in application of statistical methods to problems concerning public health, design and analysis of observational data, imputation of missing data and causal inference.

Workshop fees:

Payment on or before 31 August 2019 (Early Bird):

SSA member $200
SSA non-member $400*
SSA student member $100
SSA non-member student $125*

Payment after 31 August 2019:

SSA member $300
SSA non-member $500*
SSA student member $200
SSA non-member student $225*

*Student membership for full-time students is available for $20 annually. Membership for non-students is available for $245 annually. Click here to sign up. 

Registrations close on 20 September 2019.

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 Friday, 20 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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