
biostatistician | assistant professor @UTHealthSPH | phd @uncbiostat
Joined December 2020
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Evan Kwiatkowski retweeted
Researchers at the Center for Spatial-Temporal Modeling for Applications in Population Sciences at @UTHealthSPH are using data to identify health trends, improve access to care, and drive policy change.
See how philanthropy can help expand their work: go.uth.edu/Bauer-research
Evan Kwiatkowski retweeted
Combination therapies represent a promising approach to advancing immunotherapy. The phase Ib/II study of lacnotuzumab and spartalizumab exemplifies this strategy. While the efficacy was limited, there was a potential activity signal for pancreatic cancer. meridian.allenpress.com/inno…
Evan Kwiatkowski retweeted
Congratulations to graduate students Konstantin Larin and Meredith Kruse for winning awards at the Houston Area Chapter of the American Statistical Association's 2025 Student Symposium. engineering.rice.edu/news/la…
Evan Kwiatkowski retweeted
The Department of Biostatistics and Data Science celebrated their 55th anniversary with a conference on the the new era of data-driven sciences.
View photos from the two-day event here: flic.kr/s/aHBqjBSm3k
Evan Kwiatkowski retweeted
Congratulations to our other 4 winners of our #ENAR2024 Distinguished Student Paper Awards! Check out a selection of the winners here (more posts to come for the rest!)
Justin DeMonte, Peter Norwood, David Veitch @daveveitch, and Kollin Rott.
Join me at #JSM2023 today at 2:05pm in CC-701A for my talk in the session "Advancements for Adaptive Borrowing from External Real-World Controls in Clinical Trials" @AmstatNews
Last day of postdoc at @RiceStatistics before joining faculty at @MDAndersonNews department of biostatistics - thanks for everything @RiceUniversity #GoOwls
Part of my dissertation research in Journal of Biopharmaceutical Statistics. This paper creates an adaptive monitoring prior for incorporating external data into a clinical trial based on Bayesian posterior-predictive compatibility assessments between the RCT and external data.
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Evan Kwiatkowski retweeted
Looking forward to first JSM in person since 2019. I'll be presenting "Addressing Confounding and Continuous Exposure Measurement Error Using Conditional Score Functions" today at 2:20PM in Room CC-201
Catch me presenting Bayesian Empirical Balancing Calibration for Adaptive Platform Trials at 2:05-2:20pm in CC-204C #jsm2022
Great talk by @katiejmellor at #SCT2022 on making progression decisions following external randomized pilot trials 📈📝💯


















