New week, new insights! Join CTML for our weekly seminar series on Wednesday, October 22nd as Romain Neugebauer, Research Scientist at Kaiser Permanente, shares their latest work on "Comparison of GLP-1RA, SGLT2i, and Other Type 2 Diabetes Pharmacotherapy Regimens Using Targeted Learning – Approach and Results from the ON TARGET DM Study." This talk will take place at 12:00PM at Berkeley Way West, 5th Floor, Room 5401.
CTML Seminar Series: Presentations and Resources The following tables provide easy access to presenter information, research topics, and slide decks, making it a valuable resource for all members of the CTML community and anyone interested in the forefront of scientific inquiry.
Continuing our CTML Seminar Series is CTML GSR, Yi Li. His talk, "Targeted Deep Architectures: A TMLE-Based Framework for Robust Causal Inference in Neural Networks" will take place on October 29th at 12:00PM at Berkeley Way West, 5th Floor, Room 5401. You won't want to miss it!
Modern neural networks excel at prediction but often produce biased estimates and unreliable uncertainty for causal target parameters(e.g., average treatment effects or entire survival curves). This talk introduces Targeted Deep...
This week’s seminar brings another thought-provoking discussion! Join us on Wednesday, November 5th, as CTML GSR Sky Qiu presents "A Class of TMLEs for Efficient Estimation Under Two-Phase Sampling." This talk will take place at 12:00PM at Berkeley Way West, 5th Floor, Room 5401.
In a typical two-phase design, a random sample is drawn from the target population in phase-1, and partial covariate information is collected. In phase-2, a subsample is selected from the initial sample, and full covariate information is...
