We're pleased to welcome Eva-Maria Oess, CTML Visiting Student Researcher, as the speaker for this week’s CTML Seminar on Wednesday, November 12th. She wil be presenting on "Heterogeneous Net Treatment Effects" joint work with Lennard Maßmann. This talk will take place at 12:00PM at Berkeley Way West, 5th Floor, Room 5401.
We introduce a novel method for estimating heterogeneous net treatment effects under unit-varying outcome...
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...
Join us for the Biostatistics Research Showcase! The showcase opens with rapid-fire Lightning Talks featuring biostatistics researchers presenting cutting-edge work in causal inference, machine learning, and public health applications. Then, dive deeper into innovative research in statistical methodology and health science during our Poster Session, showcasing projects from across the biostatistics community.
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...
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.
The next talk in our CTML Seminar Series is coming up on October 15th! Join us for an engaging discussion led by Michael Rosenblum, Ph.D., Professor of Biostatistics at Johns Hopkins Bloomberg School of Public Health, on "Methodological Problems in Every Black-Box Study of Forensic Firearm Comparisons." This talk will take place at 12:00PM at Berkeley Way West, 5th Floor, Room 5401.
Reviews conducted by the National Academy of Sciences (2009) and the President’s Council of...
Be part of the conversation! On Wednesday, October 8th our CTML Seminar Series welcomes Dr. Devan Mehrotra, Vice President of Biostatistics at Merck Research Laboratories (MRL) and Adjuct Professor of Biostatistics at the University of Pennsylvania. Dr. Mehrotra will present his talk on “Covariate Adjustment Using Treatment-Blinded Covariate Selection Within Randomized Clinical Trials." This talk will take place at 12:00PM at Berkeley Way West, 5th Floor,...
Don't miss the next session of the CTML Seminar Series on October 1st, where Wenxin Zhang will discuss "Efficient Statistical Estimation for Sequential Adaptive Experiments with Implications for Adaptive Designs." This talk will take place from 12:00PM-1:00PM at Berkeley Way West, 5th Floor, Room 5401.
Adaptive designs are increasingly used in clinical trials and online experiments to improve participant outcomes by dynamically updating treatment allocation based on accumulating data. At the end of...
Mark your calendars for September 17th! The CTML Seminar Series explores “Causal Inference via Electronic Health Record Data.” This exciting talk will be led by CTML's Postdoc Zachary Butzin-Dozier from 12:00PM-1:00PM at Berkeley Way West, 5th Floor, Room 5401.
Routinely collected electronic health records (EHR) can provide a rich data source for investigators, but these data present unique inferential challenges. This presentation explores major challenges in seeking causal inferences via EHR...
