Associate Professor of Biostatistics, Rutgers University School of Public Health
NYC
Joined June 2011
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Despite all the chaos, I'm excited that I'll be able to lead this methods project developing flexible Bayesian approaches to causal inference with multiple treatments and multiple level survival data for the next two years. @NIH #causalinference
Looking forward to it!
📢#MSKBiostats seminar is held on ⏰11/2/22 10:30 AM ET by @lyhuStatree @RutgersSPH
📌Estimation of causal treatment effects from clustered survival data with application to prostate cancer
📩Christy Rajcoomar ([email protected]) to register
#CancerResearch #biostatistics
Invited proposal submissions for #JSM 2023 are open through 9/8 (ww2.amstat.org/meetings/jsm/…). As ENAR Program Chair for 2023 JSM, I encourage you to submit your invited session proposals to ENAR, and we look forward to supporting your important work!
That's right. Check out our new sensitivity analysis methods paper for unmeasured confounding with multiple treatments, to appear in AOAS (arxiv.org/abs/2012.06093)! Software is available via the CIMTx R package (arxiv.org/abs/2110.10276)
Liangyuan Hu retweeted
Join us! Associate or Full Professor of Epidemiology at Rutgers SPH @RutgersSPH @njacts #epitwitter #AcademicJobs
epimonitor.net/2021-3283-Epi…
Thrilled to be part of the @RutgersSPH ! !
Interested in estimating the survival treatment effect heterogeneity in observational data using machine/deep learning? Check out our new paper in Stats in Medicine: onlinelibrary.wiley.com/doi/…
Joint work with Jiayi Ji and @FrankFanLi
Free version 👉 arxiv.org/abs/2008.07044
Code 👉 github.com/liangyuanhu/ML-DL…
Liangyuan Hu retweeted
Dr. Fauci said this week that racism led to unacceptable disparities in health for minority groups, "especially African Americans, Hispanics & Native Americans".
Time & time again, Asian Americans are overlooked & left out.
A 🧵 on model minority myth.
nitter.cf/AP/status/139401254844…
Dr. Anthony Fauci says “the undeniable effects of racism” have led to unacceptable health disparities that especially hurt African Americans, Hispanics and Native Americans during the pandemic. Fauci spoke during Emory University's graduation ceremony. apne.ws/ssMpuPn
Liangyuan Hu retweeted
Join us for our next PRIISM seminar on Wednesday 4/14 at 11 am with Liangyuan Hu (@lyhuStatree) on Marginal structural models for causal inference with continuous-time treatments. More info here: steinhardt.nyu.edu/events/ma…
Liangyuan Hu retweeted
Tree-based machine learning identifies novel neighborhood-level factors linked to stroke ow.ly/J2jX50CfG82 @lyhuStatree
Liangyuan Hu retweeted
📣 We need your help. This is the post we hoped to never write, but today marks a huge turning point in The Strand's history. Our revenue has dropped nearly 70% compared to last year, and the loans and cash reserves that have kept us afloat these past months are depleted.
Liangyuan Hu retweeted
I have made a list👇🏼 Let me know who I’m missing nitter.cf/i/lists/13136318179505…
Liangyuan Hu retweeted
HELP! If you don't understand how much damage this policy change impose on international students, please ask. I am willing to stop all my projects and spend how ever long time you need to explain.
After 10 yr in US, I feel more vulnerable than beginng.
thehill.com/policy/national-…
Liangyuan Hu retweeted
Excited to tell the Twitterverse about my new Center for Scientific Diversity @IcahnMountSinai to increase research success of underrepresented faculty and strengthen the pipeline of diverse STEM students into the biomedical research workforce. labs.icahn.mssm.edu/bennlab/
Liangyuan Hu retweeted
PhDs w/ expertise in (bio)statistics, data science, epidemiology, or computer science, consider applying for a postdoc opportunity w/ @lyhuStatree to develop Bayesian machine learning methods for causal inference w/ time-to-event data. Email [email protected] if interested.
Thanks so much for the shout out, Emma!!
PhDs w/ expertise in (bio)statistics, data science, epidemiology, or computer science, consider applying for a postdoc opportunity w/ @lyhuStatree to develop Bayesian machine learning methods for causal inference w/ time-to-event data. Email [email protected] if interested.
A great paper and a great discussion by @StableMarkets and @jasonroy w/ lots of insights, followed by my discussion with a focus on the role of the propensity score...
I wanted to highlight this really nice paper developing Bayesian Causal Forests (BCF) & an invited discussion by @jasonroy & myself. In particular, we consider CATE estimation via BCF under positivity violations.
Paper & our discussion (pg. 34) here: bit.ly/3lnaI2l
1/n
Liangyuan Hu retweeted
Peter Diggle's Presidential Invited Address is gonna be GREAT at the opening of our Virtual IBC on Monday July 6th! Register at ibc2020.org/home
