SA Branch Meeting - Professor Michael Sorich

  • 17 Apr 2019
  • 5:30 PM - 7:00 PM (UTC+09:30)
  • Engineering & Math EM213, North Terrace, Adelaide University

SSA SOUTH AUSTRALIAN BRANCH – 17th April 2019 (WEDNESDAY) MEETING

The South Australian Branch of the Statistical Society would like to invite you to the April meeting of the 2019 program.

Venue: Engineering & Math EM213, North Terrace, Adelaide University. Campus map is available at http://www.adelaide.edu.au/campuses/northtce/.

***Please note that most entrance doors to Adelaide University buildings close at 6pm so make sure you arrive in time for the talk.

Time:

5.30pm - Refreshments in the Lecture Theatre.

6.05pm - General Meeting Talk.

7.30 pm - A dinner will be held after the meeting at Jasmin Restaurant, 31 Hindmarsh Square, Adelaide SA 5000.

Please rsvp for dinner to aarti.gulyani@sahmri.com by 15th April as we are usually unable to change the booking numbers at the last minute.

Speaker: Prof. Michael Sorich

Topic: Efficient development of clinical-grade prediction models of cancer treatment outcomes.

Abstract

In contemporary clinical practice, patients are typically provided with estimates of average treatment benefit, harms and prognosis. Clinical prediction models are an option for providing more personalised estimates of prognosis, harms and potentially treatment benefit. The presentation will cover the barriers that exist to developing prediction models that may be used to guide clinical practice and decisions, and emerging data platforms that may help overcome many of these issues.

Biography:

Prof Michael Sorich is a clinical epidemiologist, biostatistician, and pharmacist with a primary research interest in the use of biological, chemical, and clinical markers to guide decisions regarding the most appropriate use of medicines (precision medicine). His current research primarily focuses on evaluation and evidence development with respect to precision medicine approaches informing the use of cancer medicines. This includes analysis of pooled clinical trial data, and evaluation of patient data from routine clinical care.

Feel free to forward this meeting notice to colleagues, all welcome.


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