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Joint Initiative for Causal Inference Webinar – Spring 2021 Series – Session 1

March 03 @ 7:00 am9:00 am PST

Free
Logos for University of Copenhagen, Novo Nordisk, and UC Berkeley

Logos for University of Copenhagen, Novo Nordisk, and UC Berkeley

We are pleased to announce the Spring 2021 Joint Initiative for Causal Inference Webinar Series. Join us from 7-9 am PST/PDT (4-6 pm CET/CEST) on the first Wednesdays of the month (March – June 2021) for a series of presentations on utilizing causal inference and targeted learning methods to answer pressing health questions in the modern methodological and data ecosystem. Targeted learning methods bring the rigor and power of classical statistics and causal inference together with advances in machine learning to bring robust insight and evidence to the important health challenges.

This program is organized by the University of California, Berkeley’s Center for Targeted Machine Learning, University of Copenhagen, and Novo Nordisk, a leading global healthcare company headquartered in Denmark. The talks will range from those targeted at a general audience with an interest in the future of trials and real-world evidence generation to statisticians and data scientists working at or interested in the intersection of causal inference, machine learning, and statistics.

Confirmed speakers: Dr. Maya Petersen (UC Berkeley), Dr. Mark van der Laan (UC Berkeley), Dr. Theis Lange (University of Copenhagen), Dr. Helene Rytgaard (University of Copenhagen), David Chen (UC Berkeley), Dr. Zeyi Wang (UC Berkeley), Lauren Eyler (UC Berkeley), Dr. Andrew Mertens (UC Berkeley)…and others to be announced.

  • Session 1 – Wednesday, March 3rd
    • After an introduction to challenges posed by competing risks from both an industry and academic perspective, David Chen will present on current methods and problems in handling competing risks, including discrete-time targeted maximum likelihood estimation results from simulations and analysis of the LEADER trial. The second presentation, by Dr. Helene Rytgaard, will discuss novel methods for competing risks: continuous time and 1-step targeted maximum likelihood estimation, as well as applications.
  • Session 2 – Wednesday, April 7th
  • Session 3 – Wednesday, May 5th
  • Session 4 – Wednesday, June 2nd

The webinar is free to attend.

To register, please click the “Enroll” button on the event website and complete the registration form.  After enrolling, you will have access to the event site, including the schedule, Zoom links, presentation information, session recordings, learning resources and archives of past webinars.

View more event information on the course catalog event page

Details

Date:
March 03
Time:
7:00 am – 9:00 am PST
Cost:
Free
Event Categories:
,
Website:
https://berkeley.catalog.instructure.com/courses/joint-initiative-for-causal-inference-webinar

Venue

Online Webinar

Organizers

UC Berkeley Center for Targeted Machine Learning
University of Copenhagen
Novo Nordisk