#BerkeleyCTML
LightNews LightNews
berkeleyctml.bsky.social
CTML graduate researchers Kaitlyn Lee, Alissa Gordon, and Wenxin Zhang will present at the 2025 European Causal Inference Meeting (EuroCIM) in Ghent, Belgium, from April 8–11. Attendees are encouraged to engage with their work and connect with CTML. #EuroCIM2025 #berkeleyctml #Causalinference
CTML is pleased to announce that our graduate researchers will be presenting at the 2025 European Causal Inference Meeting (EuroCIM), taking place in Ghent, Belgium, from April 8–11. Kaitlyn Lee, Alissa Gordon, and Wenxin Zhang will present their research during the conference’s contributed session. We encourage attendees to engage with their work and connect with CTML during these sessions.
April 4, 2025 at 4:20 PM
berkeleyctml.bsky.social
Join us on Wednesday, March 19 for an engaging Biostatistics Career Panel! This panel will feature professionals from industry, academia, and government, all sharing their experiences and insights on navigating a career in biostatistics.
#Biostatistics #CareerPanel #Networking #BerkeleyCTML
February 26, 2025 at 5:22 PM
berkeleyctml.bsky.social
Join us for the Lightning Talks session at the Biostatistics Research Showcase this Friday, May 2nd from 2:00–3:00 PM at Berkeley Way West (Room 1104)! Open to the biostatistics community. For accessibility accommodations, contact cdasilva@berkeley.edu.
#BerkeleyCTML
Join us for the Lightning Talks session at the Biostatistics Research Showcase this Friday, May 2nd from 2:00–3:00 PM at Berkeley Way West (Room 1104)! Come hear rapid-fire presentations from biostatistics researchers on cutting-edge methods in causal inference, machine learning, and public health applications. Open to the biostatistics community. For accessibility accommodations, contact cdasilva@berkeley.edu.
April 30, 2025 at 11:35 PM
berkeleyctml.bsky.social
CTML Graduate Student Researchers Kaiwen Hou, Wenxin Zhang, Kaitlyn Lee, and Sky Qiu will present their research at the 2025 American Causal Inference Conference (ACIC), taking place in Detroit, Michigan, from May 13 to 16.
#BerkeleyCTML #ACIC2025
CTML Graduate Student Researchers Kaiwen Hou, Wenxin Zhang, Kaitlyn Lee, and Sky Qiu will present their research at the 2025 American Causal Inference Conference (ACIC), taking place in Detroit, Michigan, from May 13 to 16. Kaiwen Hou will lead a short course and present a poster. Wenxin Zhang and Kaitlyn Lee will each give a lightning talk and present a poster. Sky Qiu will also present a poster, contributing to the wide range of CTML research being shared.
May 7, 2025 at 11:05 PM
berkeleyctml.bsky.social
CTML's graduate researchers will be presenting at the 2025 ENAR Conference! Sky Qiu & Kirsten Landsiedel will deliver their presentations during the conference's contributed session, while Nolan Gunter will showcase his work in the conference's poster session. #ENAR2025 #BerkeleyCTML
Text: CTML is thrilled to announce that our graduate researchers will be presenting at the 2025 Eastern North American Region International Biometric Society (ENAR) Conference, taking place in New Orleans, LA, from March 23–26. Sky Qiu and Kirsten Landsiedel will deliver their presentations during the conference's contributed session, while Nolan Gunter will showcase his work in the conference's poster session. We invite attendees to engage with their cutting-edge research and connect with CTML during these exciting sessions!
March 21, 2025 at 6:13 PM
berkeleyctml.bsky.social
Join us next week for another exciting talk in our CTML Seminar Series! CTML GSR, Kirsten Landsiedel will be presenting her talk on "Improving the Efficiency of Estimators for Survival in Resampling Designs." This talk will take place on April 9th at 12PM at BWW, 5th Fl, Rm 5401. #BerkeleyCTML
Join us next week for another exciting talk in our CTML Seminar Series! CTML GSR, Kirsten Landsiedel will be presenting her talk on "Improving the Efficiency of Estimators for Survival in Resampling Designs." This talk will take place on April 9th at 12:00PM at Berkeley Way West, 5th Floor, Room 5401. You won't want to miss it! Survival is a key metric for evaluating current standards of care for individuals living with HIV. In resource-limited settings, high rates of loss to follow-up (LTFU) often result in underestimation of mortality when only observed deaths are considered. Resampling, which tracks a subset of LTFU patients to ascertain their outcomes, mitigates bias and improves survival estimates. However, common estimators for survival in resampling designs—such as weighted Kaplan-Meier (KM)—fail to leverage covariate information collected during repeated clinic visits, even though this information is highly predictive of survival. We propose a novel Targeted Maximum Likelihood Estimator (TMLE) for survival in resampling designs, which addresses these limitations by leveraging baseline and longitudinal covariates to achieve greater efficiency. We present: (1) a fully efficient TMLE for data from resampling studies with fixed follow-up time for all participants and (2) an inverse probability of censoring weighted (IPCW) TMLE that accounts for varied follow-up times by stratifying on patients with sufficient follow-up to evaluate survival. This IPCW-TMLE can be made highly efficient through nonparametric or targeted estimation of the follow-up censoring mechanism.
April 3, 2025 at 11:50 PM
berkeleyctml.bsky.social
Big Give Is Almost Over! 🚨

There’s still time to support @berkeleyctml.bsky.social’s graduate students as they develop cutting-edge research in causal inference and machine learning to improve public health. 💙💛

Donate today! give.berkeley.edu/fund/FN4309000 #CalBigGive #BerkeleyCTML
March 13, 2025 at 6:17 PM
ucjointcph.bsky.social
Join researchers, behavioral economists, clinicians, industry representatives and others for Frontiers in Computational Precision Health. Hosted by @ucjointcph, CHMI, @berkeleyctml, and @UCSF_BCHSI. More information in the link in our bio! buff.ly/zwbQxsA
March 18, 2025 at 10:00 AM