Associate Professor of Biostatistics, Rutgers University School of Public Health
Joined June 2011
- Tweets 352
- Following 256
- Followers 353
- Likes 752
49 Photos and videos
Pinned Tweet
24 Jul 2020
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
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27 Oct 2022
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 (rajcoomc@mskcc.org) to register
#CancerResearch #biostatistics
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4 Aug 2022
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!
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12 Nov 2021
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)
12 Nov 2021
This is a call for @lyhuStatree - maybe start with this one? arxiv.org/abs/2110.10276
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Join us! Associate or Full Professor of Epidemiology at Rutgers SPH @RutgersSPH @njacts #epitwitter #AcademicJobs
epimonitor.net/2021-3283-Epi…
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11 Jun 2021
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
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Liangyuan Hu retweeted
18 May 2021
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.
x.com/AP/status/139401254844…
16 May 2021
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
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Liangyuan Hu retweeted
12 Apr 2021
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…
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Tree-based machine learning identifies novel neighborhood-level factors linked to stroke ow.ly/J2jX50CfG82 @lyhuStatree
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Liangyuan Hu retweeted
23 Oct 2020
📣 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.
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Liangyuan Hu retweeted
7 Oct 2020
I have made a list👇🏼 Let me know who I’m missing x.com/i/lists/13136318179505…
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Liangyuan Hu retweeted
29 Sep 2020
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-…
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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/
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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 liangyuan.hu@mssm.edu if interested.
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4 Sep 2020
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 liangyuan.hu@mssm.edu if interested.
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27 Aug 2020
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...
27 Aug 2020
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
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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
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