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SA Branch AGM+Presentation

  • 24 Mar 2021
  • 5:30 PM - 7:00 PM (CADT)
  • AHMS Building, level 4, room 4050 A/B, 57 North Terrace, Adelaide

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SA Branch Annual General Meeting - Wednesday, 24th March 2021


Dear Members of the South Australian Branch of the Statistical Society.


Date:  WEDNESDAY 24 MARCH 2021


Members attending in person Venue: AHMS (Adelaide Health & Medical Sciences Building),  North Terrace, (near SAHMRI, corner of North Terrace and George Street), University of Adelaide

Room: 4050A/B on Level 4 (Maximum number of attendees = 23)

 Please note the doors shut by 6.00 pm

 To adhere with SA Health Covid Safe guidelines and maximum capacity of available facility, please inform us by reply email to aarti.gulyani@sahmri.com if you are planning to attend the meeting in person.

 

Members joining Online venue: Please click this URL to start or join:  https://adelaide.zoom.us/j/82344036114?pwd=Q1J3cUNyU2dJVUpXWlJBVkZ5Tmt5UT09&from=addon
Passcode: 539292

 

Time:

5.30pm - Refreshments.

6.05pm – Election of council

6:30pm – Monthly Presentation

7.30 pm - A dinner will be held after the meeting at West Oak Hotel, 208 Hindley Street, Adelaide SA 5000. Please rsvp for dinner to by 23 March (Tuesday) 2021 as we are usually unable to change the booking numbers at the last minute.

 

Election of Returning Officer, Branch officers, Council and Public Officer

 Please note only financial members of the society will be eligible to vote in person, or by proxy.

 A number of council members are willing to stand for office again, this is a first call for nominations for ALL positions, but particularly for the positions of:

Secretary and Councilor positions assist in the following tasks related to local activities and the relationship with the central SSAI:

Nominations are called for all positions and may be communicated in writing to the Secretary Aarti Gulyani (aarti.gulyani@sahmri.com) before the meeting or may be made from the floor at the meeting.


AGENDA - ANNUAL GENERAL MEETING

1.        Apologies

2.        Minutes of the 2020 Annual General Meeting

3.        Annual Report

4.        Election of Returning Officer, Branch officers, Council and Public Officer

5.        Treasurers Report

6.        Election of Auditor

7.        Any other business

8.        Monthly Presentation


 

Presentation Details

 Title: LONGITUDINAL MEDIATION ANALYSIS USING NATURAL EFFECT MODELS.

 Presenter: Murthy N Mittinty

 Abstract

Mediation analysis is concerned with the decomposition of the total effect of an exposure on an outcome into the indirect effect, through a given mediator, and the remaining direct effect. This is ideally done using longitudinal measurements of the mediator, which capture the mediator process more finely. However, longitudinal measurements pose challenges for mediation analysis because the mediators and outcomes measured at a given time point can act as confounders for the association between mediators and outcomes at a later time point; these confounders are themselves affected by the prior exposure and outcome. Such posttreatment confounding cannot be dealt with using standard methods (e.g., generalized estimating equations). Analysis is further complicated by the need for so-called cross-world counterfactuals to decompose the total effect. This work addresses these challenges. We introduce so-called natural effect models, which parameterize the direct and indirect effect of a baseline exposure with respect to a longitudinal mediator and outcome. These can be viewed as a generalization of marginal structural mean models to enable effect decomposition. We introduce inverse probability weighting techniques for fitting these models, adjusting for (measured) time-varying confounding of the mediator-outcome association. Application of this methodology uses data from the Millennium Cohort Study, a longitudinal study of children born in the United Kingdom between September 2000 and January 2002.

 

Biography:

 Murthy N Mittinty is a senior lecturer in the School of Public Health at The University of Adelaide. Murthy is interested in both methodological development and applications of statistical methods. His current interests include causal inference, mediation analysis, and handling of dynamic treatment regimes. Apart from statistics Murthy has keen interest in history of Mathematics and Statistics and Philosophy. Besides academic interests, Murthy is interested in Photography and Cooking.



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