Bio Statistics

Philadelphia, PA
Joined October 2017
Terrible stuff happening in downtown Nashville
WATCH: “There were ICE raids at the bars in downtown Nashville.” Singer Monte Mader says ICE agents were raiding bars on Broadway unlawfully — going after cooks, NOT criminals — and offers a plausible theory for why they wear masks. Full: instagram.com/reel/DJgZk_WO2…
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Nature research paper: Study design features increase replicability in brain-wide association studies go.nature.com/4iaWEq5
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Great job @RubyJXiong on this paper introducing GammaGateR, a semiautomated approach for marker gating in mIF data doi.org/10.1093/bioinformati…. With @KenLauLab @etmckinley @K_Harsim @cody_heiser et al. Tutorial is available online statimagcoll.github.io/Gamma….
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🎤 It's my greatest honor to have such a fantastic lineup of speakers: Dr. Joshua Lukemire (@JoshuaLukemire) Dr. Mikail Rubinov Dr. Bennett Landman (@MASI_Lab) Don't miss our talks if you are interested. See you there!! #ICSAnashville @ICSA_Statistics @vandy_biostat
🚀 Excited to organize this #ICSA2024 Invited Session #55 on neuroscience research. The topic will be "Reliable and Rigorous Inference for Brain Structure and Networks"! Join us on Tuesday, June 18th, 3:00-4:30PM. @VandyAtVandy @vandy_biostat
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One of the most common questions I get when talking about why you need to include the outcome in your imputation model is whether this is “double dipping” or “data leakage” — if this is you, what would convince you that this is not a concern?
Curious why statisticians recommend including the outcome in your imputation models? Check out our new paper in Statistical Methods in Medical Research! @SarahLotspeich, @StatStaci5, and I show with some simple mathematical derivations why this is really a requirement!
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🌟Our paper linking the "exposome" with personalized functional brain network organization and cognition is now out in Developmental Cognitive Neuroscience! 🌟 sciencedirect.com/science/ar… findings summarized in the thread below 👇
New preprint! Our brains don’t develop in a vacuum, but enmeshed in a complex web of experiences+environments. How can we characterize the interconnected and co-occurring features of a child’s environment to better understand cognitive neurodevelopment? biorxiv.org/content/10.1101/… /1
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Using models generated from the Human Connectome Project Lifespan datasets, Dr. Anna Huang & @VandyAtVandy @WoodwardLab @StephanHeckers and @kaidikangkk explore thalamic abnormalities implicated in schizophrenia & other neurodevelopmental disorders nature.com/articles/s41386-0…
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Check out our latest collaboration with @Penn_SIVE and @VandyAtVandy improving statistical methods for widefield optical imaging, published in Journal of Neuroscience Methods. authors.elsevier.com/a/1iaBb…
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We have a new preprint. In short: separate FDR for positive/negative effects avoids direction errors with 2-tailed tests. More power with adaptive BKY (vs BH). But visualization software needs asymmetric thresholds. w/@afni_pt, @ten_photos & Chris Rorden arxiv.org/pdf/2401.03554.pdf
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Mark your calendars for "Challenges in Neuroimaging Data Analysis” at @IMSI_Institute August 26-30, 2024 in Chicago. A fantastic line up of statisticians and neuroimaging experts will make for a stimulating week: imsi.institute/activities/ch…
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Come to Neuroimaging Statistics at @OHBM, June 20-21! The Keith Worsley lecture will be given by Michael I. Miller, keynote lecture by Paul M. Thompson, and many other talks from the interface of statistics and neuroimaging. Registration free but required sites.google.com/view/neuroi…
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Excited to announce the Notice of Award for my K23, "Network-Targeted Neuromodulation for Nicotine Dependence in Schizophrenia" It truly takes a village, and I have the very best, with a mentorship team of @StephanHeckers @roscoebradyjr @cately00 @hilary_tindle @EdenEvins
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Simon Vandekar retweeted
Please RT! We are recruiting for two positions! Both are for recent grads, with a start date of Spring/Summer 2024. Great for people who want to do brain science, work in a fun envi, and prep for grad school (psych, neuro, etc). Info here: pennlinc.io/JoinUs
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“Importantly, false positives were most common for small training datasets and large external datasets.” Starting to think more about power and machine learning in neuroimaging in this excellent work led by @RosenblattMatt !
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